The role involves analyzing and managing data for trading desks related to purchases, sales, and securitizations within the Residential Mortgage Analytics group
Job Summary
The role involves analyzing and managing data for trading desks related to purchases, sales, and securitizations within the Residential Mortgage Analytics group.
Candidates will be responsible for normalizing loan data from various counterparties and maintaining a Python codebase within a Git environment.
Citi offers competitive benefits including medical coverage, 401(k), life insurance, and paid time off packages alongside the salary range.
Matching Summary
The role involves analyzing and managing data for trading desks related to purchases, sales, and securitizations within the Residential Mortgage Analytics group.
Salary
Base: $130,000.00 - $170,000.00; Bonus/Equity: Discretionary and formulaic incentive awards available; Benefits: Medical, dental, vision, 401(k), life, accident, disability insurance, wellness programs, and paid time off.
Skills & Requirements
Must-have
Proficiency in SQL for data querying
Advanced Python skills for data normalization
Experience with Git version control environment
Strong analytical skills and attention to detail
Ability to work with large datasets
Nice-to-have
Prior experience with residential mortgage data
RMBS knowledge strongly preferred
Team-player mindset with strong ownership
Clear communication with technical stakeholders
Comfort meeting tight deadlines
Key Requirements
At least 3 years of relevant quantitative or technical experience
Bachelor's degree in Engineering, Mathematics, Statistics, CS, or Data Science