About the role:
Data Scientist required to lead funded (billable) projects, customizing and implementing Forecasting, Anomaly detection, Classification and GPT-like solutions (generative AI, (R)etrieval/ (A)ugmentation/ (G)eneration architecture for automated prompt-engineering, etc.) for client-facing systems in Capital Markets.
What you will be doing:
- Use quantitative and statistical methods to extract data and insights from structured and unstructured data. Leverage machine learning, statistical modeling, and quantitative analysis to create smarter, data-driven products.
- The candidate should understand both ML and Gen AI.
- Employ machine learning and statistical modeling to create and enhance data driven products
- Analyze and extract insights from internal and external data
- Work with Big Data and transform complex datasets into more usable formats
- Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
- Work independently and collaborate with other groups to solve complex problems
- Create and present analyses to internal and external partners and clients
- Document models and write code to track and monitor models and product performance
- Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs.
- Other related duties assigned as needed
- EDUCATION REQUIREMENTS - Bachelor degree with relevant experience (Minimum 3 years) but Masters or PhD is preferred in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience.
- Delivery-oriented team player who takes responsibility for the teams success and strives to continually learn and improve.
- Ability to interface with all levels of employees and effectively interact with various functional areas and facilities.
- Ability to establish and maintain effective working relationships with employees, management, and clients.
What you will be doing:
- Employ machine learning and statistical modeling to create and enhance data driven products
- Analyze and extract insights from internal and external data
- Work with Big Data and transform complex datasets into more usable formats
- Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
- Work independently and collaborate with other groups to solve complex problems
- Create and present analyses to internal and external partners and clients
- Document models and write code to track and monitor models and product performance
- Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs.
- Use Azure, AWS, Databricks to register the model and deploy ML OPS.
What you will need:
- 6+ Years of relevant experience and knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.
- Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
- Experience or knowledge of cloud-based technology along with Azure and Databricks proficiency.
- Knowledge of financial services industry especially Capital Markets.
- Deep understanding of Fraud/Anomaly detection use cases and approach Models like Auto encoder, XG Boost, Isolation Forest, Local Outlier factor, SVMs etc.
- Deep understanding on RAG, MCP & Agentic AI deployments.
- Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors
- Excellent analytical, decision-making, problem-solving, team, and time management skills
- Ability to persuade and influence others on the best approach
- Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
- Ability to work as part of a team or alone making a strong contribution in either scenario
- Exceptional statistical, mathematical, basic Machine learning and analytical skills
- Superior interpersonal, communication and presentation skills.
What we offer you:
A career at FIS is more than just a job. Its the change to shape the future of fintech. At FIS, we offer you:
- A voice in the future of fintech.
- Always-on learning and development.
- Collaborative work environment.
- Opportunities to give back.
- Competitive salary and benefits.
