Senior Associate, Data Analytics
New
F
First Help FinancialAuto loans
Remote/Anywhere in the US.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSPythonSQLMicrosoft Power BISnowflakeTableauDatabricksR
Requirements
- Bachelor’s degree in Finance, Statistics, Mathematics, Engineering or similar
- 4+ years of experience in analytics, business intelligence, data science, or statistical modeling
- Strong proficiency with SQL and relational databases
- Strong proficiency with BI tools (e.g., Sigma, Tableau, Power BI)
- Strong written communication skills
- Strong oral communication skills
- Basic exposure to translating a business problem into a structured analysis
- Experience in analyzing large and complex data sets
- Experience in business analytics and data-based decision making
- Experience with data scripting language (Python, SAS, R)
- Master’s in a highly quantitative discipline such as Statistics (preferred)
- 2+ years experience in a consulting capacity (preferred)
- Experience with Snowflake, Databrick, AWS (preferred)
- Experience with machine learning principles (preferred)
Responsibilities
- Build and maintain analytical infrastructure to monitor portfolio performance, including KPI dashboards, recurring reporting, and self-serve tools.
- Derive analytical insights from portfolio data and evaluate risk profile trends.
- Develop pricing models to evaluate and price bulk portfolios for purchase.
- Conduct analysis on portfolio impact due to changes in macroeconomic factors and make business recommendations.
- Develop metrics to monitor and improve funder and underwriter effectiveness along several key credit dimensions.
- Formulate actionable tasks to lower delinquency rates, losses and roll-rates.
- Ideate and innovate superior collection strategies to increase the effectiveness and efficiency of collector activities.
- Identify and support operational process improvements by leveraging technology and analytical tools; help standardize and automate report generation and data quality monitoring.
- Partner with Servicing Operations team to leverage analytics to develop superior operational processes.
- Partner with Technology team for evaluation and roll out of cutting-edge innovation in financial technology.
- Coordinate with Risk team to refine existing underwriting models and build newer risk models.
- Support the manager and director with ad hoc analyses to address specific business problems; synthesize findings into clear, executive-ready narratives and recommended actions.
- Partner with Data Engineering team to build AI ready dataset.
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