Manager of Business Analytics - Non-Prime Installment Loan

Koalafi•Arlington, VA

19h•Onsite

About The Position

Koalafi is launching a non-prime installment loan product to diversify its portfolio and accelerate growth. The Manager of Business Analysis will report to the Chief Risk Officer and be instrumental in designing and operationalizing the risk management framework for this new product. This role involves leading the development of core risk policies (credit, fraud, KYC/AML, collections), building a robust monitoring and reporting system, and conducting analyses to support product development, pilot rollout, and scaling. The position requires close collaboration with Product, Engineering, Compliance/Legal, Operations, and Finance teams.

Requirements

Bachelor’s degree required, in a quantitative field such as Statistics, Mathematics, Economics, Business, or Engineering preferred.
5+ years of experience in an analyst, data science, or consulting role.
3+ years of experience in credit risk analytics.
Experience in the consumer financing industry, such as credit cards, personal loans, auto loans, BNPL, or similar field.
Proficiency in Excel, SQL, and Python for data analysis.
Exceptional attention to detail and problem-solving skills.
Ability to create a strategic agenda and execute against it.
Desire to work in a fast-paced, dynamic entrepreneurial environment.
Strong written and verbal communication skills.
Must be located within commuting distance to Richmond, VA or Arlington, VA office locations.

Responsibilities

Lead the drafting and iteration of risk management policies and standards for the non-prime installment product, including credit policy, fraud policy, KYC/identity verification standards, and servicing/collections risk policy.
Translate policy intent into operational procedures and control requirements.
Establish a governance process for policy review and changes, maintaining a living policy repository with change logs.
Design and implement a monitoring framework for the new product, including risk appetite metrics, early-warning indicators, cohort/vintage tracking, and operational controls monitoring.
Build recurring executive reporting packs and self-serve dashboards for leadership and day-to-day decision-making.
Partner with Analytics and Data Engineering to ensure data definitions are consistent, auditable, and scalable.
Support product design decisions by quantifying trade-offs among risk, approval rate, unit economics, and customer experience.
Conduct targeted analyses to inform rollout strategy by state and vertical, considering regulatory constraints and operational readiness.
Partner with Product and Engineering on test design and evaluation, including measurement plans and success criteria.
Serve as a primary risk analytics partner to Product/Engineering during build, ensuring risk requirements are embedded in workflows.
Collaborate with Compliance/Legal to translate regulatory requirements into operational policy and monitoring.
Coordinate with Operations to ensure procedures, training, and escalation pathways align with policy intent.
Drive clarity in decision-making by defining owners, timelines, and deliverables, and keeping stakeholders aligned.