Credigy
Associate, Financial Risk Analytics
Norcross, GA
No sponsorshipDetected 63 days ago
PythonSQLSnowflakeMachine LearningPandasNumPyData EngineeringData VisualizationLLMsStatisticsFinancial ModelingValuationResearchMentoringIFRS
About the role
- 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.
- Monitor portfolio performance against expectations, incorporating macroeconomic research and third-party data to holistically assess financial risk and inform mitigation decisions.
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
- Lead and develop a Senior Analyst, providing day-to-day guidance, mentorship, and oversight of work product.
- Demonstrated experience building and maintaining data pipelines.
Requirements
- Knowledge of Expected Credit Loss (ECL) frameworks such as CECL or IFRS 9.
- Experience with Tableau or Python-based visualization frameworks (e.g., Streamlit, Plotly Dash).
- Comfort using AI tools - including large language models - to accelerate analytical workflows such as code generation, data exploration, and documentation.
Nice to have
- 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.
- Highly curious and self-motivated, with a strong sense of priority and commitment to deadlines.
Benefits
- Familiarity with applying machine learning models in a credit or financial context.
Company info
- What We're Looking For
Visa & Work Authorization
- Please note that we are unable to provide visa sponsorship for this role.
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This listing is sourced directly from Credigy's careers page and normalized into a canonical job model.