• Gather, Transform, Validate, aggregate and report on client data.
• Analyze data to systematically apply in-house developed, complex analysis technology to test the data quality and create benchmark solutions.
• Work directly with clients and other financial institutions to resolve critical issues in data quality
• Work directly with client modelling teams to gather requirements based on clients’ need.
• Analyze large amounts of trended client and industry data, identify red flags and perform root cause analysis.
• Manipulate large amounts of (historical data), scrub, filter and select sample criteria for analysis
• Produce and validate benchmarks based on clients’ specifications.
• Enhance and improve the in-house technology suite for validating and reporting on new data.
• Create documentation to define business needs.
• Meet all operational SLAs to deliver high quality data in a timely and consistent manner
• Develop data driven exploratory analysis to solve defined problems

Qualifications

• Bachelor’s or Master’s degree in
• Engineering (all disciplines)
• Computer Science / Computer Engineering
• Mathematics / Statistics / Sciences Finance / Economics
• Experience – 0 to 3 years
• A track record of outstanding academic performance
• Strong analytical, creative and interpersonal skills
• Demonstrated problem solving and root cause analysis skills
• Ability to work creatively and analytically in a problem-solving environment
• Eagerness to contribute in a team-oriented environment
• Effective communication (written and oral)
• Familiarity with SQL, AWS and/ or Python or other programing/data mining language is desired