A financial services provider in Atlanta is seeking an individual with 1–3 years of experience for a role focusing on financial data analysis and optimization. Responsibilities include conducting experiments on economic data, reviewing capital markets, and collaborating with technical teams to develop effective credit strategies. The ideal candidate will have strong SQL skills and hold a Bachelor's or Master's degree in a quantitative field. This position emphasizes creative thinking and the ability to thrive in a dynamic environment.
Qualifications
1–3 years of experience in an analytically-driven role (analytics, consulting, finance, etc.).
Strong working knowledge of SQL and/or experience with Python or R.
Practical and theoretical knowledge of A/B testing.
Responsibilities
Perform financial and economic data experimentation to derive critical insights.
Review capital markets and identify actionable strategies for credit underwriting.
Optimize merchant limit assignments to balance risk and growth.
Skills
SQL
Python
R
A/B testing
Cross-functional collaboration
Education
Bachelor's or Master's degree in Statistics, Math, Finance, Economics or a related field
Tools
Snowflake
BigQuery
Job description
Locations: Atlanta
What You'll Do
Performing financial and economic data experimentation and leveraging advanced data analytics to derive critical insights.
Review capital markets, dissect complex data, and translate it into actionable strategies to help optimize credit underwriting.
Determining and optimizing merchant limit assignments to ensure they are set optimally to balance risk and growth and drive user engagement.
Optimizing ClarityPay’s portfolio, managing risk and ensuring the health and profitability of credit offerings.
Designing and implementing inclusive credit strategies and economic credit models by utilizing alternative data and expanding credit to more users while managing the risk strategically.
Partnering with Machine Learning and Engineering teams to build effective credit risk capabilities.
Collaborate with Product teams to develop new products and features, the Merchant Pricing Team to value different Merchants, and the Finance team to facilitate discussions with debt and equity investors.
Basic Qualifications
1–3 years of experience in an analytically-driven role (analytics, consulting, finance, etc.).
Strong working knowledge of SQL and/or experience with Python or R.
Practical and theoretical knowledge of A/B testing.
Bachelor's or Master's degree in a quantitatively rigorous subject area (statistics, math, finance, economics, or a related field).
Strong interpersonal skills and ability to work cross-functionally and influence both technical and non-technical audiences.
Ability to think creatively and critically and thrive in a fast‑paced, dynamic, and often ambiguous work environment.
Preferred Qualifications
Passion to redefine the lending and financial industry for the better.
Experience utilizing and developing within cloud data warehouse tools like Snowflake or BigQuery or similar services.