Position Summary
Redwood is a leading specialty finance company across multiple asset classes, specializing in sourcing, analyzing, and distributing Jumbo, Non-Qualified (NQM), Business Purpose mortgages and Home-Equity Investments (HEI) s financial institutions. We are committed to innovation, data-driven decision-making, and delivering exceptional value to our clients in a rapidly evolving mortgage market.
We are seeking a skilled Data Analyst to join our team and support our Aspire Platform focusing on NQM mortgages and HEI. The ideal candidate will have a strong analytical mindset, proficiency in managing and analyzing large data sets from multiple sources, and a keen interest in the mortgage or financial services industry who is looking to grow with our platform. You will play a critical role in ensuring cleanliness of data, analyzing loan performance, market trends, and portfolio risk to drive strategic decisions and optimize business outcomes.
Responsibilities & Duties
- Collect, clean, and analyze large datasets related to NQM loan originations and HEI.
- Ensure data integrity and compliance with industry regulations and internal policies.
- Standardize bulk bid tapes from sellers for traders to analyze, which will include "cracking" tapes and preparing stats
- Assist in whole loan sales and securitizations by producing loan tapes, stats and interacting with clients to answer any data related questions- Develop and maintain dashboards, reports, and visualizations to communicate insights to stakeholders, including senior management and investors.
- Monitor key performance indicators (KPIs) such as delinquency rates, prepayment speeds, and default probabilities to assess portfolio health.
- Identify patterns and trends in non-QM loan data to support pricing, risk assessment, and portfolio acquisition strategies.
- Collaborate with cross-functional teams, including underwriting, risk management, and sales, to provide data-driven recommendations.
- Conduct ad-hoc analyses to manage risk, improve returns and support business initiatives, such as evaluating new loan products or investor requirements.
Required Experience & Education
-Bachelor's degree in data science, Statistics, Finance, Economics, or a related field.
- 2 - 5 years of experience in data analysis, preferably in mortgage, financial services, or fintech industries.
- Proficiency in SQL for querying and manipulating large datasets.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong knowledge of Excel, including advanced functions, pivot tables, and VBA (preferred).
- Familiarity with Python or R for statistical analysis and data modeling is a plus.
- Understanding of mortgage industry concepts, particularly non-QM lending, loan securitization, or portfolio management, is highly desirable.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex insights clearly to non-technical stakeholders.
- Knowledge of regulatory requirements (e.g., Dodd-Frank, CFPB) is a plus.
Preferred Skills
- Experience working with mortgage loan origination systems (LOS) or servicing platforms.
- Exposure to alternative credit data or non-traditional borrower profiles in non-QM lending.
- Ability to work in a fast-paced environment and manage multiple priorities.
A reasonable estimate of the total compensation range for this role is $90K to 130K. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certification, and other factors. CoreVest also offers a competitive benefit package including discretionary corporate bonus program, multiple health plans, STD and LTD options, company sponsored life insurance, fitness reimbursement, paid parental leave, time to volunteer, Paid Time off, ESPP, and 401K matching.
At Redwood Trust, we are committed to fostering an inclusive workplace where diversity is valued, and everyone has the opportunity thrive. We welcome applications from individuals of all backgrounds and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
