Job Description

This position is posted by Jobgether on behalf of dv01. We are currently looking for a Sr. Data Analyst, Capital Markets Solutions in the United States.

This role provides a unique opportunity to work at the forefront of capital markets and structured finance, combining deep financial knowledge with cutting-edge data analytics. You will analyze complex loan-level data and deliver actionable insights that directly impact decision-making for investors and financial institutions. The position involves collaborating closely with engineering teams to develop innovative analytical solutions and working directly with clients to provide reporting and advisory services. You will gain exposure to multiple asset classes, structured finance transactions, and advanced analytics tools. This is a hands-on role where technical proficiency, financial expertise, and client engagement intersect to drive meaningful outcomes in a high-impact, fast-paced environment.

Accountabilities

• Analyze large datasets from multiple asset classes including mortgages, personal loans, auto, and small business lending.
• Extract insights from loan-level originations, servicing data, and securitization reports to support client decision-making.
• Collaborate with engineering teams to develop and productize analytical solutions for both internal and external use.
• Deliver reporting, dashboards, and analytics services to clients, including hedge funds, banks, and asset originators.
• Validate, clean, and interpret complex financial data to ensure accuracy and reliability.
• Present findings and recommendations clearly to internal teams and client stakeholders.
• Support the ongoing development of data workflows, tools, and best practices for structured finance analysis.

Requirements

• 5+ years of experience working with financial data, with knowledge of loan-level data, securitizations, or multiple asset classes preferred.
• Proficiency in SQL, R, or Python for data analysis and manipulation.
• Strong understanding of financial concepts and data reporting, including investor and trustee reports.
• Ability to synthesize detailed transactional data into actionable insights.
• Detail-oriented, multi-tasking professional capable of managing multiple analytical threads simultaneously.
• Strong communication skills for conveying findings and collaborating with internal teams and clients.
• Bachelor’s degree in Finance, Economics, Data Science, or a related field, or equivalent experience.

Benefits

• Competitive salary range: $95,000 - $120,000, based on experience and expertise.
• Unlimited paid time off for personal or mental health needs.
• $1,000 Learning & Development Fund for courses, conferences, and workshops.
• Remote-first work environment with flexibility to work from home or elsewhere.
• Comprehensive medical, dental, and vision insurance packages for you and your family.
• 401(k) plan for retirement planning.
• Fitness benefits including monthly stipends or annual funds for home equipment.
• Paid parental leave: 12 weeks for primary caregivers, 4 weeks for secondary caregivers.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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