เงื่อนไขการค้นหา

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected].
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

SQL, Python, SAS, English

ประเภทงาน:

งานประจำ

• Lead the end-to-end development of Health analytics infrastructure, translating complex business problem statement into robust analytical solutions that support FWD strategic goals.
• Collaborate with Group Office and cross-functional teams to design and maintain advanced statistical models and analytical tools (e.g., SQL, Python, SAS, R), ensuring scalability, accuracy, and alignment with portfolio performance analysis.
• Decision Enablement and Business Impact.
• Lead the planning and execution of cross-functional analytics initiatives to develop predictive & statistical models and early warning systems for emerging health trends, fraud risk mitigation, and operational efficiencies.
• Partner with data and health operations teams to lead and drive AI/ML initiatives that enhance analytics capability, automate insights generation, and improve decision quality in key health domains.
• Provide strategic insights by synthesizing internal data and external market intelligence to influence underwriting, sales, and operations, enabling evidence-based decision making at executive levels.
• Champion the adoption of Group Office and enterprise-wide analytics best practices, positioning the analytics team as a proactive business partner in driving long-term impact for Health business.
• Portfolio Monitoring/Business Planning.
• Oversee the end-to-end delivery of monthly health portfolio performance reports on experience (Loss/Lapse/Expense) to ensure data accuracy and timely insights for strategic review.
• Analyze and synthesize reporting outputs into clear, actionable commentaries for local senior leadership and Group Office, enabling informed decision-making.
• Support the Strategy/Finance teams by contributing to the development and planning of Health business plans.
• Identify portfolio risks and growth opportunities by proactively monitoring health insurance trends and performance indicators, and recommend strategic interventions or pricing adjustments to senior management.
• Bachelor s degree (or higher) in Actuarial Science or related field.
• Progress toward an associate of international recognized actuarial bodies e.g. SoA/IFoA/IAA.
• 8+ years of experience on Health Portfolio Analytics, management, or pricing.
• Good communication in both Thai and English.

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Sales, Negotiation, SAS, English

ประเภทงาน:

งานประจำ

• Serve as primary contact to develop and execute win/win negotiation strategies for medium to large account contract renewals that optimize contract terms while protecting and enhancing customer trust. Own, drive and manage the renewals process in collaboration with the account team.
• Ensure successful and on-time renewals for the account prior to the contract end date and executing all renewal back-end work in a timely manner for the assigned customer base.
• Present renewal proposal(s) and options to customer and notify customer of upcoming contract expiration.
• Partner with Account Executives/CSMs/ Enterprise Negotiations, Licensing Operations and Sales Operations to fully understand and develop a clear renewal strategy for each customer based on data driven decisions.
• Provide rapid, focused response to customer and CSM requests including via sales processing procedures (COMMIT).
• Identify customer requirements, uncover roadblocks, and demonstrate strong account management and commercial capabilities to drive renewal to on-time closure.
• Secure and validate renewal orders, driving maximum renewal and up-selling from the install base which includes confirming the delivery of quote to partners/end customer and facilitate the order Processing and approval of Purchase orders.
• Engage, as required, with the supporting functional teams to resolve issues raised by customers related to their sales deeds.
• Provide executive management with complete visibility to renewals and solicit executive involvement and escalate as required.
• Accurately maintain/update a rolling 120 day forecast of renewals in your territory and ensuring any uncovered risk is clearly communicated to develop resolution strategies.
• Follow and adhere to best practices for all internal processes including Opportunity Management, Data Quality, Quoting and Forecasting.
• Engage in strategic account planning with key stakeholders across the business to ensure accountability across teams; act as a Renewals brand ambassador.
• Required Qualifications Ideally some experience in a Customer Success, Consulting or Commercial department within a tech company.
• Fluent in English and Thai language.
• Good understanding of SaaS/subscription-based renewals models, application and sales techniques.
• Strong negotiation and objection handling skills that allow for value-based contract negotiations at the CXO level, involving multi-year contract as well.
• Good written, verbal, and interpersonal communications skills.
• Good organizational, Customer management & Excellent time management skills.
• Ability to work in a fast paced, high-volume sales environment.
• Knowledge of SAS products, solutions and services, cloud technologies preferred.
• Strong process management, financial acumen, and adherence to policy.
• You re curious, passionate, authentic and accountable. These are our values and influence everything we do.
• Additional Information Hybrid work arrangement. Working in the office for 2-3 days each week.
• Diverse and Inclusive At SAS, it s not about fitting into our culture - it s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it s essential to who we are. To put it plainly: you are welcome here.
• Additional Information SAS only sends emails from verified sas.com email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• SAS

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• Experience in R studio, data modeling, hypothesis testing is a plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Sales, SAS, Legal

ประเภทงาน:

งานประจำ

• Creates and executes territory and account strategies to grow new software, hosting and education revenue and exceed sales quotas.
• Sells software, solutions, hosting, consulting services, and education (and combinations thereof) to current and prospective customers (new logos). Ability to execute all aspects of sales cycle (prospecting, discovery, proposal, proof, close, cross/up sell).
• Collaboratively engages with SAS Partners to sell SAS software, solutions, hosting, ...
• Educates and enables new SAS Partners by partnering with them in pipeline development activities as well as sales cycle execution.
• Creates and executes territory-specific pipeline generation plans considering value-add of SAS Partner community to maintain pipeline necessary to achieve revenue objectives. Generates pipeline through effective lead management/conversion and proactive prospecting efforts.
• Builds and leads virtual teams for opportunities of necessary internal and external resources (i.e., Customer Advisors, Consulting, Industry/Domain Experts, Legal, Enterprise Negotiations, SAS Partners, Value Engineering).
• Leads virtual team including SAS and SAS Partner resources and prospect/customer through process of thoroughly qualifying opportunities, mapping and proposing appropriate SAS offerings to buyers needs, and efficiently executing sales cycles resulting in new contracts.
• Prepares standard and nonstandard quotations and proposals leveraging a deep understanding of pricing, licensing policies, packaging, and approvals process.
• Connects regularly with existing customers to understand usage and satisfaction and uncover additional revenue opportunities.
• Triages a wide range of requests for information from current and prospective customers by connecting them with internal resources such as Customer Success.
• Keeps abreast of industry and technology trends, terminologies, software applications, operating systems, and hardware requirements.
• Engages with senior leadership on customer escalations, large opportunity strategy, and ideation around new campaigns, offerings, etc.
• Maintains and submits accurate revenue forecasts.
• Maintains accurate and up to date account, opportunity, and other information in Orion.
• Participate in workgroups related to pipeline build and sales strategy as requested by management.
• Ability to travel to critical customer or internal meetings.
• Requirements: Generally requires 5-8 years experience in Sales, Account Management with Partner Collaboration.
• Diverse and Inclusive At SAS, it s not about fitting into our culture - it s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it s essential to who we are. To put it plainly: you are welcome here.
• SAS only sends emails from verified sas.com email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Instrument, Excel, SAS, English

ประเภทงาน:

งานประจำ

• Credit Risk Modelling - IFRS 9 model development, validation, Basel II/III solutions, including RWA optimisation, scorecard development, and PD/LGD/EAD model development.
• Market, Liquidity and Operational Risk - calculation of market, liquidity and operational risk capital under various regulations, assisting with implementation, and organisational review.
• Risk management advice: reviewing the current risk management framework, and designi ...
• Complex financial instrument valuation: assisting you in financial instrument valuation in order to evaluate its fair valuation in order to evaluate its fair value.
• Insurance modelling: developing and validating risk management models for insurers including liability.
• Conduct financial risk models design and development, model validation and testing, and other advanced data analytics on a wide range of client portfolios (financial and non-financial services).
• Develop and apply credit risk methodologies including IFRS 9 and Basel II /III PD/LGD/EAD models etc.
• Analyse and interpret quantitative results to understand business impact.
• H andle and manage work streams, build relationships and manage clients during the implementation of projects.
• Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
• Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
• Uphold the firm s code of ethics and business conduct.
• Preferred skills.
• Experience in current financial regular landscape will be an advantage (Basel II /III, IFRS 9 etc.).
• Proficient in Excel and/or other analytics platforms (e.g. SAS, SQL, R, Python, Excel VBA).
• Excellent English and Thai written and verbal communication skills.
• Demonstrate strong inter-personal skills and good communication skills, including the ability to document reports and conduct presentations for clients and key stakeholders.
• University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics etc.).
• Analytical and independent thinker with strong English and Thai written and verbal communication skills.
• Between 3 and 6 years of relevant experience.
• If you have any questions, please feel free to contact Prangnart, Human Resources Team, on [email protected].
• We thank all applicants. Please note that only short-listed candidates will be contacted for interviews.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred:Certifications (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?.
• Yes
• Government Clearance Required?.
• No
• Job Posting End Date.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Automation, Python

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Finance, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Project Management, Statistics, Finance, English

ประเภทงาน:

งานประจำ

• Engage with clients to understand business goals, provide advisory support, and proactively address technical and functional challenges while effectively supporting presentations and demonstrations.
• Build strong relationships with senior client stakeholders to consistently exceed expectations.
• Independently gather and analyze client requirements, developing tailored business solutions.
• Provide expertise on risk management technologies, methodologies, and regulatory frameworks (e.g. Basel, IFRS9, Liquidity, Credit Risk, Market Risk, Operational Risk, Banking Regulations, etc), while developing, maintaining, and enhancing quantitative risk models to ensure accuracy and regulatory alignment.
• Collaborate effectively with senior consultants, managers, and cross-functional teams to achieve project objectives.
• Coordinate regional teams across Southeast Asia to foster consistency and excellence.
• Support project management activities, including scope definition, planning, execution, and delivery.
• Contribute to knowledge-sharing initiatives, training programs, and professional development activities.
• Contribute to proposal development, bid participation, and market expansion efforts to strengthen the firm s presence.
• Your role as a team member: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Consultants across our Firm are expected to:Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
• Understand how our daily work contributes to the priorities of the team and the business.
• Demonstrate strong commitment to personal learning and development.
• Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
• You are someone with:Possesses a degree, preferably in Actuarial Science, Statistics, Economics, Mathematics, Finance, Accountancy, Risk Management, or a related field.
• Professional certifications (e.g., FRM, PRM, CFA) are an added advantage.
• Minimum of 1 to 2 years of relevant experience, ideally within consulting, banking, or financial services.
• Demonstrates strong domain and technical-functional knowledge in regulatory frameworks and risk management solutions, including Basel, IFRS 9, Liquidity, Credit Risk, and Banking Regulations.
• Hands-on experience with data analytics and visualization tools such as SQL, Power BI, Python, and SAS preferred.
• Proficient in Microsoft Excel, PowerPoint, and Word, with advanced skills.
• Strong analytical, problem-solving, and data interpretation skills with high attention to detail.
• Excellent communication, interpersonal, collaboration, and client management abilities.
• Proficient in business-level English, both verbal and written.
• Capable of working independently, multitasking, and managing projects effectively.
• Works efficiently against demanding timelines.
• A high-performing, coachable team player who prioritizes continuous development, puts clients first, and exemplifies a value-driven mindset.
• Due to volume of applications, we regret only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 108502In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 2 years of experience in data engineering and at least 3 years as data scientist.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).