Associate, Financial Risk Analytics

Credigy • Norcross, GA

1d • Hybrid

About The Position

Credigy's Financial Risk Analytics team sits at the intersection of data, finance, and strategic decision-making — and we're looking for an Associate who's ready to own a meaningful piece of that work. In this role, you'll build and maintain the data infrastructure that powers our cashflow modeling, drive rigorous portfolio analysis, and help the business understand and manage financial risk across a complex, global investment portfolio. You'll also lead and develop a Senior Analyst, making this a rare opportunity to grow as both a technical expert and a people leader. If you're energized by hard problems, large datasets, and work that directly informs how we invest, this role is for you. Please note that we are unable to provide visa sponsorship for this role. Candidates must be legally authorized to work in the United States now and in the future without employer sponsorship. About the Role As an Associate on the Financial Risk Analytics team, you'll report to the Senior Manager of Financial Risk Analytics and directly manage one Senior Analyst, with the potential to grow the team over time. You'll develop deep expertise in Credigy's investment portfolio — including core valuation assumptions and projected cash flow drivers — and build the analytical infrastructure that keeps our modeling workflows running. Success in this role means bringing both technical precision and intellectual curiosity to every problem, and communicating your findings clearly to stakeholders across the business.

Requirements

• Bachelor's degree in Finance, Economics, Engineering, Mathematics/Statistics, or another quantitative field.
• 4+ years of experience in financial analytics, credit risk, or a related quantitative discipline.
• Advanced proficiency in Python (pandas, numpy, and related libraries) — Python is the primary tool in this role.
• Experience with SQL and cloud data platforms (Snowflake preferred).
• Strong understanding of cashflow modeling, financial risk concepts, and economic return analysis.
• Demonstrated experience building and maintaining data pipelines.
• Prior experience leading or mentoring junior analysts.
• Highly curious and self-motivated, with a strong sense of priority and commitment to deadlines.

Nice To Haves

• Knowledge of Expected Credit Loss (ECL) frameworks such as CECL or IFRS 9.
• Familiarity with applying machine learning models in a credit or financial context.
• Experience with Tableau or Python-based visualization frameworks (e.g., Streamlit, Plotly Dash).
• Exposure to consumer finance or consumer debt portfolios.
• Comfort using AI tools — including large language models — to accelerate analytical workflows such as code generation, data exploration, and documentation.

Responsibilities

• Develop expert-level knowledge of the company's current investments, including core valuation assumptions and projected cash flow drivers.
• Build and maintain data pipelines for both third-party and internal data sources to support ongoing modeling and analytics workflows.
• Develop and enhance financial models to forecast cash flows and economic returns; execute bulk scenario runs to stress test portfolio performance under a range of economic conditions.
• Monitor portfolio performance against expectations, incorporating macroeconomic research and third-party data to holistically assess financial risk and inform mitigation decisions.
• Lead and develop a Senior Analyst, providing day-to-day guidance, mentorship, and oversight of work product.

Benefits

• medical, dental, and vision coverage through Cigna
• STD, LTD, and basic life insurance
• 401(k) with company match
• generous PTO
• paid parental leave
• volunteer time off through Credigy Cares
• workplace perks designed to support how you work best — from a thoughtfully equipped office environment to the technology and tools that help you do your best work.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level