Senior Data Analyst

SoFi

6d•$155,000 - $170,500•Remote

About The Position

Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Social Finance, LLC seeks Senior Data Analyst in San Francisco, CA:

Requirements

Master’s degree (or its foreign degree equivalent) in Data Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field.
Data warehouse design and dimensional modeling
Extract, Transform, Load (ETL)
SQL
Python
Data Analysis
DBT
Data Visualization (Tableau and Power BI)
Gitlab

Responsibilities

Facilitate high-level technical communication across projects and stakeholders including underwriting, operations, compliance and capital markets, guaranteeing flawless technical execution and information flow.
Monitor production and create reporting on the concentration limits of the portfolio including items such as credit score, LTV, DTI, lien position, documentation type, market, and property type.
Order, track and report refreshed values across the portfolio.
Monitor the portfolio for increasing risks such delinquencies, losses, and geographic areas with declining markets.
Complete Gap Analysis on Residential Mortgage Guidelines to different investors and product types.
Review and analyze loan deficiencies and exception requests to determine appropriate courses-of action.
Lead the orchestration and management of a range of technical projects, ensuring close collaboration with product managers and diverse teams across technical domains.