เงื่อนไขการค้นหา

ประเภทงาน:

ฝึกงาน

• Job Network: Economic, Social and Development.
• Job Family: Statistics.
• Category and Level: Internship, I-1.
• Duty Station: BANGKOK
• Department/Office: Economic and Social Commission for Asia and the Pacific.
• Date Posted: Jan 23, 2024.
• Deadline: Jul 26, 2024.

ทักษะ:

Thai, English

ประเภทงาน:

งานประจำ

• Perform a high-risk customer onboarding process based on company policy and procedures.
• Periodically evaluate existing high-risk customers according to established company policy.
• and procedures.
• Investigate high-risk customers, report where necessary, and obtain all necessary documentation to complete the customer profile.
• Perform as per company policy in case customers request to increase their daily limit.
• Perform daily operational tasks by complying with the company policy.
• Perform any additional tasks concerning KYC risk analysis.
• Bachelor s degree in any field.
• At least 1 year of working experience in KYC, credit analysis, fraud management, or any related role.
• Strong verbal and written communication skills in both Thai and English.
• Excellent communication, explanation, attention to detail, can-do attitude, and leadership skills.
• Able to work under pressure and solve problems independently while holding strong organizational skills.
• Comfortable working in a fast-paced, ambiguous environment.
• Ability to prioritize and manage multiple responsibilities.
• Ability to remain calm and maintain patience during difficult client interactions.
• Flexible working hours and working days (holidays).
• Nice to have:
• Familiar with KYC and AMLO.
• Experience in Digital Assets Market, Capital Market, and Financial Market.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน.

ทักษะ:

SQL, Tableau, Power BI

ประเภทงาน:

งานประจำ

• Track and monitor key performance indicators (KPIs) for marketing campaigns.
• Generate regular reports and dashboards to visualize campaign performance trends and outcomes.
• Develop and maintain processes and procedures for accurate campaign data tracking and reporting.
• Utilize various analytics tools and platforms to gather campaign data, ensuring accuracy and reliability of performance metrics.
• Troubleshoot tracking result issues and implement effective solutions to ensure accuracy.
• Gather and analyze data from various marketing channels and campaigns, utilize tools and techniques to interpret campaign performance.
• Translate complex data into actionable insights and strategic recommendations for optimizing campaign performance and driving business outcomes.
• Communicate findings and recommendations to stakeholders in a clear and concise manner, facilitating informed decision-making.
• Bachelor s degree in Computer science, Marketing, Business, statistics or a related field.
• Proven experience in campaign performance and analysis, preferably in a digital marketing environment.
• Proficiency in SQL or other programming languages for data manipulation and analysis.
• Proficiency in using data visualization tools such as Tableau or Power BI to create compelling and insightful visual representations of data.
• Additional in using advanced functions, formulas and features in Microsoft Excel & PowerPoint can be advantageous.
• Ability to operate independently and collaboratively in a fast-paced, deadline-driven environment.
• Detail-oriented approach, underscored by a dedication to data accuracy and integrity.
• Good analytical, communication and interpersonal skills.
• Have well-rounded knowledge in digital marketing, campaign management related to financial industry.
• ผู้สมัครสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือกรุ๊ปเลือด ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของข้าพเจ้าแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย .

ทักษะ:

Microsoft Office, Power point

ประเภทงาน:

งานประจำ

• วิเคราะห์และประเมินความเสี่ยงลูกค้ารายใหม่ เพื่อกำหนดวงเงินสินเชื่อและเครดิตเทอมที่เหมาะสม รวมถึงเงื่อนไขอื่นๆ ที่จะบรรเทาความเสี่ยงที่อาจเกิดขึ้นได้.
• ร่วมพัฒนา ปรับปรุงกระบวนการทำงาน นโยบายการบริหารสินเชื่อให้สอดคล้องกับการขายตามการเปลี่ยนแปลงของสภาพทางธุรกิจ และควบคุมความเสี่ยงจากการชำระเงินของลูกค้า.
• พิจารณาปรับเพิ่ม/ลดวงเงินสินเชื่อและเครดิตเทอมของลูกค้าให้เหมาะสม.
• เจรจาต่อรอง ให้คำแนะนำ รวมถึงเป็นที่ปรึกษาให้กับหน่วยงานอื่นในการกำหนดวงเงินสินเชื่อ เครดิตเทอมได้เป็นอย่างดี.
• จัดทำ Presentation เกี่ยวกับการเปลี่ยนแปลงผู้มีอำนาจลงนามในเอกสารทางการเงิน เพื่อให้สอดคล้องกับโครงสร้างของกลุ่มบริษัท และการเปิด-ปิดบัญชี.
• ติดต่อประสานงานกับธนาคารเกี่ยวกับงานธุรกรรมทางการเงินต่างๆ.
• วฒิการศึกษาปริญญาตรีขึ้นไป สาขาบริหารธุรกิจ บริหารเงิน บัญชีการเงิน เศรษศาสตร์หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทางด้านงานบริหารจัดการสภาพคล่องและ Credit Management & Collection และวิเคราะห์ข้อมูลทางการเงินไม่ต่ำกว่า 8 ปี.
• สามารถจัดทำ Presentation โดยใช้ Microsoft Office: Power Point ได้เป็นอย่างดี.
• มีทักษะในการบริหารความสัมพันธ์กับสถาบันการเงิน.
• มีความรับผิดชอบและมีมนุษยสัมพันธ์ดี..

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Quality Assurance, Statistical Analysis

ประเภทงาน:

งานประจำ

• Consumer & Customer Focus: Building world class factories will eliminate losses and ensure that we do not pass on the cost of inefficiencies to our customers and consumers..
• Bias for Action: By providing consistent and near real time information, decisions can be taken quickly which leverage our resources..
• Building Talent & Teams: Our vision is to move to semi-autonomous teams and we require process engineer s with a passion for achieving results through great teamwork, a ...
• Accountability & Responsibility: Taking responsibility for building your team s performance and sharing your best interventions to help support other lines in their improvements..
• Growth Mindset: By building world class factories we will become more competitive in the market place and set the standards to which others aspire..
• WCM: Apply the full set of WCM methods and tools to identify root causes, define countermeasures and validate their effectiveness; mastery of AM, PM, Q and FI tools and processes. Establish standards to support line operators sustain new basic conditions..
• Process and Organisational Design: Leverage technical knowledge and a systems approach to ensure factory lines and processes are optimally resourced (e.g. manpower ratios are efficient and sustainable)..
• Analytical capability: Collect and analyse complex data to penetrate problems phenomena and understand root causes..
• WHAT YOU WILL NEED TO SUCCEED.
• Experiences & Qualifications.
• ESSENTIAL: There are 2 routes available for this role:
• Direct Entry role for postgraduate s engineers. Must demonstrate a flair for improvement engineering and coaching..
• Developmental role for technicians and First Line Managers (formally Supervisors). Must demonstrate a strong technical knowledge across all the site s processes and lines. Must possess strong engineering leadership credentials..
• PREFERRED / DESIRABLE:
• Experience in statistics and process control tools..
• Experience in AM, PM, Quality and FI tools and processes.
• Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their Whole Self to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

ประเภทงาน:

ฝึกงาน

กรุงเทพมหานครPostedPosted 1 day ago

ทักษะ:

Compliance, M&A

ประเภทงาน:

งานประจำ

• Config Log and Normalized Log on SIEM,UEBA system.
• Resolving issues as necessary on SIEM,UEBA system.
• Document procedures / Guideline Log Collection Management.
• Ensure complete log flow from various devices to the SIEM,UEBA system.
• Analyze and investigate Cybersecurity eventsPerform analysis of log from a variety of sources and Creates detections based aligned to the MITRE ATT&CK Framework on the SIEM system.
• Create rule for detect anomalies events on the SIEM system / review accuracy and tuning rule.
• Hunts for new threats and performs data analytics that might happen within the company.
• Perform day-to-day analysis of logs to detect anomalies or events that could lead to incidents.
• Reviews available logging to determine potential gaps in detection capabilities.
• Review accuracy and tuning rule on the SIEM system.
• Reviews threat intel reports and feeds.
• Analyze User Behavior Entity / review accuracy and tuning risk score.
• SupportPerform other duties as assigned.
• Collect supporting information and/or relevant artifacts in support of IR Team.
• Document review User for Compliance system.
• Document standard operating procedures system prioritize.
• Renew MA.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)

ทักษะ:

Network Infrastructure, Industry trends, Data Analysis

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to design, plan, and implement transport network layer solutions.
• Evaluate and select appropriate equipment and technologies to optimize network performance and efficiency.
• Conduct feasibility studies and recommend improvements to enhance the overall transport network infrastructure.
• Stay abreast of industry trends and advancements in transport network technologies.
• Qualifications Bachelor's degree in Telecommunication Engineering, Computer Engineering, Computer Science, or a related field.
• Proven experience in planning equipment and solutions on the transport network layer.
• Strong proficiency in data analysis, including data modeling, statistical analysis, and data visualization.
• Proficiency in relevant tools and programming languages (e.g., Python, R, SQL, etc.).
• Excellent problem-solving skills and attention to detail.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a cross-functional team environment.
• Recruiter Pornvipa Phothong (พรวิภา โพธิ์ทอง)

ทักษะ:

Quantitative Analysis, Compliance, Accounting

ประเภทงาน:

งานประจำ

• Develop and implement risk models and methodologies to evaluate and measure financial risk exposure.
• Conduct in-depth quantitative analysis to assess the accuracy and effectiveness of risk models.
• Collaborate with cross-functional teams to validate risk models and ensure compliance with internal and regulatory requirements.
• Monitor and analyze market trends, risk factors, and economic indicators to refine risk models.
• Use advanced statistical techniques to identify, assess, and quantify financial risks.
• Provide insights and recommendations to optimize risk management strategies based on risk model outputs.
• Assist in the development and implementation of risk management frameworks, policies, and procedures.
• Stay updated with the latest industry developments and advancements in risk modeling techniques.
• Skills and attributes for success.
• To qualify for the role you must have.
• Minimum of bachelor's degree in accounting, finance, engineering, or another finance-related role.
• New graduates are welcome with internship experience in a similar role or working environment, preferably in professional services or client-facing role.
• Individual with experience in the Banking or Financial industry with experience in either front process, operation process, accounting process or IT will be highly considered.
• Having knowledge about Financial Modeling and coding skills i.e. Python, R studio, C+ are mandatory.
• Ideally, you'll also have.
• Individual with an experience in Banking or Insurance industry with experience in either front process, operation process, accounting process or IT will be highly considered.
• We currently are seeking a highly motivated individual to work on multiple client engagements, work with a wide variety of clients to deliver professional services, and lead business development activities.
• What we offer.
• We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It's yours to build.
• EY | Building a better working world.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Data Analysis, Thai, English

ประเภทงาน:

งานประจำ

• Sets objectives and delivers results that have some longer-term impact within the job area.
• Accurate decisions and recommendations would normally result in the achievement of business results, would prevent noticeable delays in assigned work, and would limit the risk of moderate expenditures of time, human resources, and/or funds.
• Provides support and coordination to peers on the implementation of company policies, programs and initiatives required of his/her involvement.
• Maintains and enhances relations with the customers.
• Meets and communicates with the customers on an a consistent basis in order to understand and fulfill their requirements.
• Provides leadership support to his/her service teams.
• To produce - as required - weekly and monthly KPIs, and other statistical or performance measurement data.
• Participates in safety committee initiatives - allows and supports staff to participate in safety committees as required.
• At least 5 years in experience in inventory management.
• Good communication skills both in Thai and English.
• Computer literacy in MS Office.
• Excellent communication and inter-personal skills.
• Business understanding in data analysis, supply chain management and product knowledge.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Tableau, Big Data, SQL

ประเภทงาน:

งานประจำ

• Able work with data user for implementing and developing the data analyze to actionable insight.
• Gathering, understanding and analyzing detailed of business requirements by using appropriate tools and techniques.
• Creating, monitoring and reviewing the data dashboard report.
• Experience using business intelligence tools or data visualization tool eg.Tableau.
• Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist, data engineer.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel eg.Pivot table, vlookup and PowerPoint.
• Designing and reviewing the test cases including the campaign designs.
• Having a business mind and detail oriented.
• Skills Require Programming languages, such as SQL.
• Analytic Tools such as Tableau, SAS VA, Power BI.
• Statistical Knowledge.
• The ability to analyse, model and interpret data.
• A methodical and logical approach.
• The ability to plan work and meet deadlines.
• Accuracy and attention to detail.
• Interpersonal skills.
• Teamworking skills.
• Communication skills such as Story Telling.
• At least 2-3 year of experience with Data Analysis.
• Understanding ofbusiness intelligence, data analyst, big data, Tableau andSQL.
• Understanding of Teleco industry, Customer Value Management.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง), Waritta Kongsab (วริษฐา กองทรัพย์)

ทักษะ:

Accounting, Java, SAS

ประเภทงาน:

งานประจำ

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Gather, interpret, and analyze massive volumes of data and apply financial, statistical, accounting, and computer forensics skills to provide cost-effective, proactive strategies and solutions to complex business disputes.
• You'll be responsible for front-line client services, including;Collection of electronic data and digital evidence using forensic technology tools and procedures.
• Recovery of corrupted digital information or deleted digital evidence using PwC's proprietary forensic techniques,.
• Examination of digital evidence to discover facts and validate the allegations.
• Analysis of information stored in the database using forensic analytical tools to discover trends, patterns, anomalies, potential red flags of fraud, and other insights.
• Developing and implementing the information management systems, which allow clients to manage the data.
• Delegate to others to provide stretch opportunities and coach to help deliver results.
• Develop new ideas and propose innovative solutions to problems.
• Use a broad range of tools and techniques to extract insights from from current trends in business area.
• Review your work and that of others for quality, accuracy and relevance.
• Share relevant thought leadership.
• Use straightforward communication, in a structured way, when influencing others.
• Able to read situations and modify behavior to build quality, diverse relationships.
• Uphold the firm's code of ethics and business conduct.
• Preferred skills.
• Experience in programming on various platforms e.g. JAVA, Visual Studio, NET and C++, using data manipulation tools and/or RDBMS driver.
• Knowledge of these technologies: CAAT (Computer Assisted Auditing Technologies), ACL, SAS and ERP Systems.
• Strong interpersonal skills and a demonstrated ability to work in team environments and client-facing situations are essential.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• Yes
• Job Posting End Date.

ทักษะ:

Compliance, Risk Management, Finance, English, Thai

ประเภทงาน:

งานประจำ

• Involve in conducting fraud and other forensic investigations as well as providing litigation support in commercial disputes.
• Leverage your strong technical skills on a variety of Computer Forensics eDiscovery projects to provide clear and concise details of progress and findings.
• Forensically obtaining data from computers, servers and mobile devices, ensuring the evidential integrity of the data.
• Collaborate with engagement team members to advise financial services clients such as asset managers, banks, or insurance companies on areas relating to risk, regulation, data, and compliance.
• Support financial services clients in their journey to comply with international and local regulations.
• Support financial services clients in their operational and cultural transformation in areas such as Data Governance, Enterprise Risk Management, Risk and Finance Alignment, Board Governance etc.
• Contribute to the maintenance of high quality client relationships by producing exceptional deliverables for clients.
• Demonstrate considerable knowledge and analytical abilities through, leading the development of quantitative data analysis and data mining solutions in support of forensic investigations, litigation and/ or in responses to regulatory compliance-related enquiries, emphasising the development of database driven reports and analyses.
• Consulting with clients on business issues, often explaining complex technical concepts to non-technical people.
• Conduct research into project-related issues.
• Preferred skills.
• A recognized Degree in Finance, Business, Analytical, Mathematical, Statistical, or Risk related fields.
• EnCase Certified Examiner (EnCE), Certified Fraud Examiner (CFE), and / or Certified Information Systems Security Professional (CISSP) certifications.
• Experience delivering computer forensics, eDiscovery, information security, malware detection and analysis services to clients.
• Experience with the following products/ tools: Encase, FTK, Cellebrite, Oxygen Forensics, Nuix, Relativity.
• Sound technical understanding of Windows, Macintosh, and Linux operating systems, file systems and networks.
• Sound technical understanding of computer system hardware, storage devices, including hard drives, personal storage devices, tape systems and other archiving systems.
• Good presentation skills, both oral and written in English and Thai.
• Team player who works effectively under pressure and have the ability to multi-task and prioritise workload and with good working knowledge of Microsoft Office Suite.
• Good client management skills, authoritative and credible in a client conversation - both in terms of personal style and subject matter expertise.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ทักษะ:

Research, SAS, Matlab, English

ประเภทงาน:

งานประจำ

• Review and develop financial and statistical modelling and analytics for a wide range of client portfolios (financial and non-financial services).
• Drive development of new methodologies and approaches.
• Analyse and interpret quantitative results to understand business impact.
• Conduct review and analysis of credit risk, Basel II capital, operational, and insurance risk models.
• Demonstrate strong communication skills, including the ability to document reports and presentations for clients.
• Demonstrate ability to apply judgment, initiative and lateral thought to problem-solving.
• Work closely with the engagement team and manager while understanding individual responsibilities and deliveries.
• Lead thought leadership groups and research and development activities as appropriate.
• Develop and maintain strong client relationships and share insights and experiences with clients.
• Support Partners in the development of the Risk Consulting team across SEA.
• Drive and develop internal initiatives to support the Risk Consulting teams across SEA and the wider consulting practice.
• Preferred skills.
• Understand the current financial regulatory landscape (Basel II/III, IFRS9, etc.).
• Quantitative skills and ability to work with large complex datasets.
• Credit risk modelling experience (PD/LGD/EAD, stress-testing, economic capital, etc.).
• Insurance modelling experience (Pricing, Reserving, IFRS17, etc.) SAS, MATLAB, SPSS, R, Python (or similar statistical analytic tool).
• University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics, etc.).
• Analytical and independent thinker with strong English written and verbal communication skills.
• Minimum years experience required.
• Minimum 10 years of relevant experience.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ประสบการณ์:

5 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
• Job DescriptionConducting transaction data analysis with Hadoop Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods.
• Creating user-friendly dashboards and presentations.
• Building predictive models using advanced machine learning techniques interpret and present modeling and analytical results to non-technical audience.
• Executing on the analytic plan with appropriate data mining and analytic techniques.
• Performing QA on data and deliverables by analysts and own deliverables.
• Ensuring all project documentation is up to date and all projects are reviewed per analytic plan.
• Ensuring project delivery within timelines.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets.
• This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
• QualificationsBachelors degree in Economics, Finance, Computer Science, Statistics, or related quantitative field.
• 5+ years of experience in performing data exploration and feature engineering and ML models.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistics, Research, SAS

ประเภทงาน:

งานประจำ

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.
• This is an individual contributor role.
• We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
• 7+ years of experience in performing data exploration and feature engineering.
• 8 -10 years of professional work experience in banking, payments, or related industry.
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
• Excellent presentation and storytelling skills, including strong oral and written capabilities.
• Storyboarding and data storytelling including strong Excel and PowerPoint skills.
• In market experience and/or knowledge of local language, culture as well as industry regulations.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Chemical Engineering, Petrochemical, English

ประเภทงาน:

งานประจำ

• To perform research and analytical works on assigned study project(s) in the field of oil & gas, petrochemicals, and/or energy development sector.
• To coordinate with external parties and manage PTIT Task Forces and Standing Committees activities.
• To gather and disseminate information, and independently analyze data in support of a technical service/policy-related project undertaken by PTIT.
• To represent PTIT in any assigned meetings.
• To perform any other jobs as assigned by Executive Director.
• Required skills:
• Research, analytical and report-writing skills.
• English proficiency.
• Presentation, coordination and communication skills.
• IT proficiency (PowerPoint, Excel, Word, others).
• Positive attitude, hard-working, result-oriented.
• Multi-tasking and self-improvement ability.

ทักษะ:

Industrial Engineering, Finance, Project Management

ประเภทงาน:

งานประจำ

• Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
• Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
• Plan and develop report / presentation to support project for trial and roll out.
• Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
• Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
• Track/create business metrics & Key Performance Indicators (KPIs) dashboard.
• Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization.
• Train end users on new reports and dashboards to continually drive efficiencies.
• Ability to present information to stakeholders and provide initial consultation / solution.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Six Sigma Green Belt certification preferred.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ทักษะ:

Data Analysis, Power BI, Market Research, English

ประเภทงาน:

งานประจำ

• Data Analysis: Collect, clean, and analyze data from multiple sources such as sales transactions, customer databases, marketing campaigns, and external market data.
• Reporting and Visualization: Develop reports and dashboards to present findings and insights to stakeholders. Visualization tools like Power BI etc. might be used for this purpose.
• Predictive Modeling: Utilize statistical techniques and machine learning algorithms to forecast sales, identify trends, and predict customer behavior. This could involv ...
• Market Research: Conduct market research to understand industry trends, competitor strategies, and customer preferences. This could involve analyzing market data, consumer surveys, and industry reports.
• Mall Performance Tracking: Monitor key performance indicators (KPIs) related to sales, marketing campaigns, pricing strategies, and Mall performance by store. Identify areas of improvement and provide recommendations for optimization.
• Strategic Planning: Collaborate with cross-functional teams to develop and implement commercial strategies based on data insights. This could involve pricing strategies, product positioning, promotional activities, and customer segmentation.
• Continuous Improvement: Stay updated with the latest trends and developments in data analytics, commercial strategies, and industry best practices. Continuously seek opportunities to improve processes and enhance analytical capabilities.
• Bachelors & Master Degree in any fields.
• A through understanding of shopping malls.
• Ability to identify trends and opportunities.
• Financial & Business Acumen.
• Strong analytical, Logical & communication skills.
• Strong Leadership & Influencing skills.
• A thorough understanding of shopping malls.
• Ability to turn data insight to implementation plan.
• Ability to identify trends and opportunities.
• Collaborative skills to engage other teams.
• Ability to lead and motivate related stakeholders especially Mall Analyst team.
• Good command of spoken and written English.
• Self-motivation and drive with positive mindset.
• Work well under high pressure.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .