FCS Data Scientist
Barclays (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 28–45 LPA
Posted on 21 Sept
Reach people at Barclays
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Barclays you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Provide technical and analytical support to Financial Crime Screening operations through advanced data forensics and machine learning solutions.
- Develop, maintain, and optimize scalable data pipelines and analytical models using Python, SQL, Power BI, and Tableau to generate insights for compliance and operational initiatives.
- Collaborate with internal technical teams and stakeholders to ensure regulatory compliance, delivery of platforms, and implementation of automation and AI-driven projects.
Minimum Requirements
- Strong proficiency in Python, SQL, Power BI, and Tableau for data analysis and visualization.
- Experience applying statistical techniques, machine learning methods, and predictive modeling to large and complex datasets.
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Data Science, or a related quantitative field is desirable but not explicitly mandatory.
- Location requirement: Role based in Noida and Gurugram. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in financial crime operations, screening, compliance, or risk management domains with strong quantitative and analytical skills.
- Capable of managing complex projects and collaborating across multiple technical disciplines and business functions, including senior leadership.
- Demonstrated ability in building data-driven solutions that support regulatory compliance and operational decision-making within a highly regulated environment.