Senior Data Analyst, Collateral Data Solutions

Accountabilities:

• Analyze large-scale loan-level and structured finance datasets to extract meaningful insights and support investment decision-making.

• Work with securitization data sources, including trustee reports, deal documents, and servicing files, to build accurate analytical models.

• Develop and refine SQL, Python, or R-based workflows to process and analyze complex financial datasets.

• Collaborate with engineering and product teams to design, build, and operationalize scalable data solutions and analytics tools.

• Translate raw financial data into clear metrics, dashboards, and reports used by institutional clients.

• Engage directly with clients, including hedge funds, banks, and asset originators, to deliver reporting and analytical support.

• Identify trends, risks, and performance drivers across multiple asset classes and structured products.

• Ensure accuracy, consistency, and integrity of financial datasets used for client-facing and internal decision-making.

Requirements:

• 5+ years of experience working with financial data, ideally within structured finance, capital markets, or loan-level analytics.

• Strong understanding of loan origination, servicing data, and securitization structures (ABS, RMBS, or related asset classes preferred).

• Proficiency in SQL, Python, or R for data analysis and manipulation of large datasets.

• Experience working with complex financial statements, investor reports, and trustee reporting.

• Strong analytical mindset with ability to extract insights from raw and unstructured financial data.

• Detail-oriented with the ability to manage multiple analytical workstreams simultaneously.

• Strong communication skills with experience in client-facing or stakeholder-facing roles.

• Ability to bridge technical data work with business and financial interpretation.

• Curiosity and adaptability to work in a fast-paced, evolving data and finance environment.

Benefits:

• Competitive salary range of $120,000 – $130,000, depending on experience and qualifications.

• Remote-first work environment with flexibility to work from anywhere.

• Unlimited PTO to support rest, travel, and personal well-being.

• Comprehensive medical, dental, and vision insurance coverage for employees and families.

• 401(k) retirement savings plan.

• $1,000 annual learning and development budget for courses, conferences, and professional growth.

• $138/month wellness stipend for gym memberships or fitness activities.

• Up to $1,650 annually in fitness reimbursement for equipment and wellness needs.

• Generous parental leave policy with up to 16 weeks for primary caregivers and 4 weeks for secondary caregivers.

• Strong culture of collaboration, learning, and innovation in a data-driven environment.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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