เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Digital Marketing, Big Data, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 5 years of work experience within strategy and digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• Established record of driving strategic digital transformation and topics with value creation in mind.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Candidates with lesser experience will be considered at the Associate level.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Tableau, Excel, Industry trends

ประเภทงาน:

งานประจำ

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Product Owner, Product Development, CFA

ประเภทงาน:

งานประจำ

• Customer-Centric Design: Champion a customer-first approach, ensuring our investment products deliver intuitive, seamless, and delightful user experiences.
• Data-Driven Decision Making: Utilize data insights to inform product decisions, prioritize features, and measure success against key performance indicators.
• AI-Powered Innovation: Leverage AI and machine learning to analyze user behavior, identify trends, and uncover opportunities for product enhancement and personalization.
• Product Leadership: Define the product vision, strategy, and roadmap for your portfolio, aligning cross-functional teams and stakeholders towards a common goal.
• End-to-End Ownership: Manage the entire product lifecycle, from ideation and concept development to launch, iteration, and continuous improvement.
• Technical Collaboration: Partner effectively with engineering, design, and data science teams, translating business requirements into technical specifications and ensuring successful implementation.
• 5+ years of experience as a Product Manager, Product Owner, or similar role in fintech, investment management, or a related field.
• Proven track record of delivering successful investment or wealth management products with measurable impact on customer satisfaction and business outcomes.
• Strong analytical skills with the ability to interpret complex data and derive actionable insights.
• Experience with AI/ML techniques and their application in product development.
• Exceptional communication and presentation skills, capable of influencing and inspiring stakeholders at all levels.
• Experience working in agile environments and familiarity with tools like Jira.
• Passion for fintech and a deep understanding of the investment landscape.
• Nice to have.
• MBA or advanced degree in a relevant field.
• Experience in a startup or high-growth environment.
• CFA or other relevant financial certifications.
• Proficiency in SQL and data visualization tools.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, SQL, Oracle, English

ประเภทงาน:

งานประจำ

• Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
• Together with the consulting team, design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
• Provide support in designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
• Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
• Support the project teams in recommending BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Analysts across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Fresh graduates In your final year of study or recent graduate between 0-2 years of work experience.
• Strong academic degree / master in Computer Science, Data, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines.
• Proficient in at least one programming language (Python, C, Java, etc.).
• Good understanding in Artificial Intelligence and Machine Learning.
• Understanding of SDLC Waterfall and Agile Development Methodologies is a plus.
• Some knowledge of Intelligence Automation software e.g. Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure is a plus.
• An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
• General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage.
• Demonstrates interest for all the latest technologies, libraries & languages.
• Strong analytical skills, excellent oral and written communication skills in English, self-motivated, and able to work in stressful situations with changing priorities.
• Drive, tenacity, entrepreneurship, client focused and results oriented. You enjoy working methodically and with a great attention to detail.
• Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated.
• Due to volume of applications, we regret that 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.
• This role is open to those that possess a valid permit or status to work in Thailand.
• Requisition ID: 110720In 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:

Data Analysis, Big Data

ประเภทงาน:

งานประจำ

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.

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.

ทักษะ:

Automation, Big Data, NoSQL, English

ประเภทงาน:

งานประจำ

• Develop data modeling pipelines that bridge the enterprise and the analytics data layers including scalable data marts and other automation tools to empower the Data Analytics capabilities.
• Develop other in-house analytics solutions for internal teams, including building simple web applications that take the analytics prototypes either to internal use by wider audiences or to enhance the core product platforms.
• Evaluate and implement Big Data ecosystems/infrastructures mainly for analytics purp ...
• Help improve front-end data tracking for the company s websites and mobile apps to better understand user behaviors.
• Facilitate some simple data queries/extraction that help business operations.
• Research for feasible data technologies that could be useful for the business.
• Collaborate and learn together by sharing findings with and provide guidance to other teams.
• Business Intelligence tools for data democratisation.
• Backend services development.
• Machine Learning engineering.
• A strong intent to help us strengthen data analytics products and solve business problems from the foundational stage using data engineering expertise.
• Significant experience in implementing ETL pipelines with large and complex data dependencies.
• Hands-on experience in Big Data engineering and some web development backgrounds.
• Proficiency in complex SQL and Python.
• Some technical knowledge in front-end data tracking for websites or mobile apps.
• Ability to understand business problems analytically, bounce ideas, and communicate technical progress.
• Intermediate fluency in English.
• ประกันสุขภาพ.
• ประกันสังคม.
• กองทุนสำรองเลี้ยงชีพ.
• เยี่ยมไข้ เยี่ยมคลอด.
• ของขวัญวันเกิดพนักงาน.
• ตรวจสุขภาพประจำปี.
• เงินช่วยเหลืองานมงคลสมรส.
• เงินช่วยเหลืองานศพ.
• การฝึกอบรมและพัฒนาพนักงาน.
• ค่าตอบแทนพิเศษ.
• โบนัสตามผลงาน / ผลประกอบการ.

ทักษะ:

Finance, Data Analysis, Python

ประเภทงาน:

งานประจำ

• Identify Investment Opportunities: monitor and analyze financial market trends using technical and quantitative methods to uncover timely, strategic investment opportunities aligned with organizational objectives and client needs.
• Develop Strategic Investment Insights: Create and present tailored investment ideas to internal stakeholders and for public communication to support informed decision-making and enhance market credibility.
• Data Management & Analysis: Maintain and optimize financial databases to ensure data ...
• Product Selection & Evaluation: Conduct in-depth, data-driven product evaluations using quantitative metrics to recommend high-performing financial products that support strategic goals.
• Leverage AI for Productivity & Insight: Design and implement AI-driven tools to automate tasks, streamline workflows, and enhance investment analysis, generating actionable insights to support strategic initiatives.
• Qualification Bachelor s degree or higher in Finance, Economics, Data Science, Engineering, or a related field.
• Strong financial expertise with demonstrated experience in investment analysis, product evaluation, and a deep understanding of financial markets, investment products, and portfolio strategies.
• Advanced analytical and technical skills, including proficiency in quantitative modeling, data analysis tools (e.g., Python, R, SQL, Excel), and handling large datasets. Familiarity with AI or machine learning is a plus.
• Excellent analytical, problem-solving and communication skills, with the ability to translate complex data into actionable investment insights.
• CMT, CFA, or other relevant certifications are a plus.
• Interested candidate, please submit your CV to [email protected] 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.

ทักษะ:

Research, SQL, Statistics, English

ประเภทงาน:

งานประจำ

• Provide data-driven insights to improve decision making and identify business opportunities.
• Build and enhance various creditability scoring models.
• Evaluate performance for product experimentation.
• Help improve data collection for website and mobile apps to better understand user behaviors.
• Present findings to different types of audiences.
• Facilitate some simple data queries/extraction that help business operations.
• Research for better improvements in data analytics area.
• Some hands-on experience in crunching data to uncover insights by writing SQL,.
• Python, R scripts, and being familiar with spreadsheets.
• A passion to gain a deeper yet practical understanding of statistics.
• and econometrics techniques.
• Fair understanding of what drives the success of predictive model implementation.
• for subject creditability purpose.
• Some technical knowledge in data collection from websites or mobile apps.
• Ability to translate business problems into analytics questions, bounce ideas,.
• and communicate findings.
• Intermediate fluency in English.
• Machine Learning engineering.
• Operations Research (mathematical optimisation).
• Business Intelligence tools for data democratisation.
• Data visualisation development in web browser.
• NoSQL databases and Big Data platforms.
• Data Engineering and Software Engineering.
• ประกันสุขภาพ.
• ประกันสังคม.
• กองทุนสำรองเลี้ยงชีพ.
• เยี่ยมไข้ เยี่ยมคลอด.
• ของขวัญวันเกิดพนักงาน.
• ตรวจสุขภาพประจำปี.
• เงินช่วยเหลืองานมงคลสมรส.
• เงินช่วยเหลืองานศพ.
• การฝึกอบรมและพัฒนาพนักงาน.
• ค่าตอบแทนพิเศษ.
• โบนัสตามผลงาน / ผลประกอบการ.

ทักษะ:

Docker, Kubernetes, Web Services

ประเภทงาน:

งานประจำ

• Lead the cloud native application design and implementation of complex software systems.
• Build and demonstrate a breadth of knowledge of various domains within technology, understanding the linkages and dependencies of projects/work and the key senior stakeholders.
• Advise stakeholders internally as a software development SME applying deep expertise of software development.
• Evaluates and introduce new technology or techniques to implement the strategy, proposes patterns for its use and owns the development of reference code to set a standard for scalability, performance, and maintainability.
• Drive technical excellence across teams through code reviews, cyber security review, mentorship, and best practices.
• Act as a thought leader, influencing engineering culture and fostering innovation.
• Collaborate with application architect, product management and cross-functional teams to align engineering efforts with business goals.
• Leads the delivery of critical projects, working autonomously and with little direction; may ensure completion of work from other team members, mentoring and delegating work when required.
• Ensure high standards of security, reliability, and performance in all deliverables.
• Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field.
• Proven hands-on experience as a technical lead, application architect or principal engineer in large-scale software development.
• Experience with micro-services architecture and containerization (Docker, Kubernetes).
• Experience with Web application standards and REST API's (Web services, JSON, HTTP, HTTPS).
• Expertise in modern programming languages (e.g., Java, Python, JavaScript).
• Strong understanding of AWS cloud platforms and content distributed systems.
• Experience with CI/CD, Terraform, DevOps practices and agile methodologies.
• Proven a positive and high-energy personal commitment with a collaborative mindset and the ability to build strong relationships across all levels of the organization.
• Excellent problem-solving, communication, and leadership skills.
• Familiarity with data engineering, machine learning, or AI technologies is considered an advantage.
• Contributions to open-source projects or technical publications is considered an advantage.
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.