Senior Analyst, Financial Risk Analytics

Credigy is growing our Risk Management team at our Norcross, GA headquarters. We’re hiring at the Associate level (and for other roles) to help us analyze and manage our investment portfolio. These roles offer the chance to build financial models, evaluate performance trends, and collaborate with teams across Valuation, Modeling, Data Strategy & Operations.

**Currently, we are unable to provide visa sponsorship. Candidates must be legally authorized to work in the United States now and in the future, without any type of sponsorship required**

This position requires strong analytical skills, curiosity, and proficiency with tools such as MS Excel, SQL Server, Snowflake, Tableau, and Python. The ideal candidate will thrive in working with large data sets and approaching analytical challenges with creativity.

If this role feels like a stretch but excites you, please still apply. We value curiosity, motivation, and a willingness to learn just as much as direct experience.

Responsibilities of the Position:

Develop expert-level knowledge of the company’s investments, including core valuation assumptions.

Perform detailed analyses of performance trends and identify investments requiring further review based on deviations from expectations.

Apply external tools (third-party data, research, and economic forecasts) to evaluate impacts of market and economic conditions.

Build and refine financial models to forecast cash flows and economic returns for existing investments.

Understand the company’s data architecture and support efforts to create and maintain a robust Data Warehouse.

Assess broad areas of risk across the investment portfolio, including evaluating methods for risk mitigation.

Perform additional duties as assigned by management.

Target Candidate Profile:

Bachelor’s degree in Finance, Economics, Engineering, Math, or other quantitative fields.

While 5+ years of experience is ideal, we welcome candidates with less experience who are motivated to learn and grow with us, as we are also open to hiring at the Analyst and Senior Analyst levels on this team.

Strong business sense with enthusiasm for analytics and/or data science.

Experience with analytical tools (Excel, SQL, Snowflake, Tableau); Python experience is a plus.

Prior exposure to projects requiring extensive data preparation and analysis.

Highly curious, self-motivated, and able to prioritize effectively while meeting deadlines.

Team-oriented mindset with the discipline and ownership to manage independent tasks.

Humble, collaborative attitude with readiness to handle a heavy workload.

Strong motivation to learn, grow, and contribute in a fast-paced environment