Senior Data Scientist
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Job Description
Senior Data Scientist managing analytics for commercial lending at Forbright Bank. Responsible for developing data-driven insights to inform portfolio strategy and growth decisions.
Responsibilities:
- Develop and implement advanced statistical and machine learning models to predict loan performance, borrower risk, prepayment likelihood, and renewal opportunities
- Partner with credit, portfolio management, and lending teams to identify high-impact use cases for data-driven solutions
- Automate data ingestion, transformation, and reporting processes to streamline analytics workflows
- Build dashboards and data visualizations that communicate insights effectively to executive and front-line stakeholders
- Design and execute experiments and A/B tests to measure the effectiveness of lending strategies and risk policies
- Leverage R or Python for model development, statistical analysis, and data manipulation
- Work with structured and unstructured data, including loan files, collateral valuations, market data, and financial statements
- Stay informed on emerging AI techniques and assess their applicability to commercial lending and banking operations
- Mentor analysts and contribute to building a data-driven culture within the Bank
- Perform other duties as assigned
Requirements:
- Bachelor’s Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, or a related quantitative field required; Master’s Degree preferred
- Minimum of 5 years of professional experience in data analytics, data science, or quantitative modeling required
- Direct experience in banking, with preference for commercial lending analytics
- Demonstrated ability to deliver predictive models and advanced analytics projects with measurable business impact
- Proficiency in Python or R for statistical modeling, data wrangling, and automation
- Experience with BI tools such as Power BI or Tableau for dashboard and visualization development
- Strong SQL skills for data extraction and transformation
- Familiarity with cloud-based data environments (e.g., Azure, AWS, or GCP) preferred
- Hands-on experience with large language models preferred
- Proficiency with Microsoft Office tools (Outlook, Word, PowerPoint, Excel)
- Excellent verbal, written, and interpersonal communication skills
- Strong organizational skills and attention to detail
- Outstanding problem-solving and time management skills
- Self-motivated, self-directed, and results-oriented
- Adaptable and able to multitask in a fast-paced environment
- Can work independently and within a team; solution-oriented with a collaborative approach
Benefits:
- Comprehensive health, dental, and vision plans
- 4 weeks PTO
- 401k + company match
- Metro SmartTrip benefits ($50/mo)
- Remote or hybrid work schedules for most positions
- Incentives for purchasing solar panels, electric vehicles, biking to work, etc.
- Paid subscriptions to Veterans Compost, Capital Bikeshare, Imperfect Foods reimbursement, and more!
- Best Workplaces for Commuters 2023 & 2024 winner
- The Washington Post Top Workplaces 2023, 2024, and 2025 winner
- American Banker Best Banks to Work For 2023 winner
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