Econometric And Statistical Analyst at CFG Merchant Solutions

• Job Location New York, NY
• Seniority Mid-Senior Level
• Type Full-time

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Description

Job Description: We are seeking an experienced data analyst to support the executive team with developing financial models to gain insights on current and future company performance.

This dynamic role encompasses a range of responsibilities, including financial modeling, econometrics, quantitative analysis and regression-based forecasting, reporting to the executive management team.

Responsibilities: Work on-site at our NYC office located in the financial district.

Occasional work may be required at our other office locations, including Glen Rock, NJ, Miami, FL and Reston, VA.

Development of unit economics models to define return on capital, NPV and IRR goals for the business Develop parametric financial models to investigate the impact of policy changes on key financial results Define and develop executive-level dashboards to instrument company performance Develop regression models to help forecast performance across cohorts of the portfolio Special projects in support of the executive team Prepare presentations to executive team regarding the achievement of key metric goals Experience and Educational Requirements: Minimum of 5 years experience of complex financial modeling including unit economics, regression analysis, and application of higher-level math for identifying/predicting inflection points Must have significant experience as a power user of Microsoft Excel with demonstrated ability to work with large datasets augmented with tools like Gigasheet.

Must have mastery of data manipulations, scripting, and VBA.

Experience with SQL, R, SPSS, SAS, Python or similar tools preferred Experience with AI-based analytics via prompt engineering and other methods highly preferred Must be proficient with presentation tools such as PowerPoint for preparation of executive level briefings.

Must have significant experience with a financial services company; alternative lending experience preferred.