Senior Data Analyst, Finance and Credit
4 weeks ago
The Data Analytics team at Recruit Monitor plays a critical role in providing analytical support across the organization to enable data-driven decision making.
We leverage our analytical and technical skills to help our partners with a multitude of services, including understanding our underwriting models and presenting on trends in our loan performance, analyzing market size opportunities, creating financial models, developing our business intelligence pipeline to enable self-service reporting, and architecting/automating of work processes.
As the Senior Data Analyst - Finance and Credit at Recruit Monitor, you will be a critical member to lead fair valuation and financial automation initiatives by building repeatable, scalable, and auditable analytics and data-pipelines.
Key Responsibilities- Own end-to-end initiatives supporting the modeling, automation, and analytics in financial dashboards, fair value accounting and forecasting.
- Drive discussions on methodology enhancements, and data model development, and recommend solutions to new data and credit product changes, while improving accuracy of product metrics.
- Partner with Accounting, Audit, Product, and Engineering teams to support monthly financial reporting and deliver an accurate, consistent, and efficient data reporting process.
- Create reports and dashboards in BI tools such as Looker. Monitor trends in relevant metrics and report on key insights on a daily basis.
- Work with various big data platforms (such as AWS, Redshift, BDT, etc.), data service providers and internal engineering teams to explore APIs, ingestions of new datasets/sources, and evaluation of business impacts.
- BS/MS Degree in Business Analytics, Financial Engineering, Finance, Economics, Engineering or other highly quantitative/analytical field.
- 3+ years of professional experience in SQL querying, and BI/reporting development with large and complex data set (Looker, Tableau, or Power BI).
- 2+ years of experience in financial analytics or quantitative modeling driving business decisions.
- Experience in translating business requirements to Data Warehousing and ETL needs.
- 5+ years experience in data analytics tools such as Python or R and using tools like Excel and Google Sheets.
- Strong communication with client-facing and executive level data presentation skills.
- Experienced in project management & documentation, and using tools such as Jira and Confluence.
- Experience in cash flow valuation modeling of consumer lending products or asset backed securities, with ability to develop and manage financial models independently.
- Knowledge of statistical methods and machine learning algorithms.
- Previous consumer marketplace lending industry experience with focus on capital markets, finance, accounting, or product.
- Competitive Compensation (base + bonus & equity).
- Comprehensive medical, dental, and vision coverage.
- Personal Development and Technology & Ergonomic Budgets.
- Life insurance and disability benefits.
- Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams).
- Generous vacation policy.
- 401(k) and Employee Stock Purchase Plan (ESPP).
- Catered lunches + snacks & drinks.
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