Senior Data Analyst - Lending Strategy & Policy

Capital Bank, N.A.; Rockville (MD); Hybrid; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Disability Insurance

401k contributions

Paid Parental Leave

Tuition Reimbursement

Paid Holidays

Volunteer time off

Job summary

Capital Bank, N.A. is seeking a Senior Business Analyst within OpenSky to leverage advanced analytics for developing lending strategies and data‑backed decisioning. You will analyze credit policies, monitor risk, and present recommendations to leadership in a fast-paced environment.

The role is a full‑time hybrid position, offering a base salary range of $110k–$130k plus a target bonus. Strong Python and SQL skills with a quantitative background are essential.

Qualifications

• 1–5 years of experience in advanced analytics, including developing credit policies.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Engineering, Economics, Finance, Business).

Responsibilities

• Perform credit analysis using advanced analytics in SQL and/or Python.
• Analyze and optimize lending strategies, including approve/decline policy and credit line assignment.
• Develop recommendations on credit strategies based on performance analysis, resiliency testing, and business judgment.
• Present data‑backed recommendations to leadership.
• Build and/or leverage valuation models to inform credit policy recommendations.
• Establish testing and monitoring plans.
• Proactively monitor credit risk and performance, identifying whether policy adjustments are needed.
• Partner with cross‑functional teams to implement strategies.

Skills

Python

SQL

Analytics

Credit policy

Communication

Problem solving

Detail oriented

Data storytelling

Education

Bachelor's degree

Job description

Capital Bank, N.A. is seeking a Senior Business Analyst within OpenSky to leverage advanced analytics for developing lending strategies and data‑backed decisioning. You will analyze credit policies, monitor risk, and present recommendations to leadership in a fast-paced environment.

The role is a full‑time hybrid position, offering a base salary range of $110k–$130k plus a target bonus. Strong Python and SQL skills with a quantitative background are essential.