Risk Manager – Collections

Kafene

. Report to the VP of Risk and help build profit-driven consumer underwriting strategies .

Posted 10/7/2026full-timeNew York City • New York • United StatesJuniorMid-Level💰 $95,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging quantitative analysis and data-driven strategies to enhance consumer underwriting and risk management in the financial services industry. Proficient in utilizing advanced analytical tools and methodologies to derive actionable insights and optimize business performance.

Highest-signal resume keywords

Master’s Degree In Quantitative DisciplineHigh Proficiency In PythonHigh Proficiency In SQLExperience In Credit Risk StrategyBusiness Reporting And Analytical Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisData MiningDecision-Tree AnalysisA/B TestingStatistical ModelingData VisualizationPerformance MonitoringBusiness Insights ExtractionMacroeconomic AnalysisPortfolio Performance Metrics

Soft Skills

CommunicationCollaborationAnalytical ThinkingProblem Solving

Tools & Technologies

Power BITableauSASEnterprise Miner

Industry Keywords

Financial ServicesConsumer LendingCredit RiskRisk AppetitePortfolio Management

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Report to the VP of Risk and help build profit-driven consumer underwriting strategies
Leverage credit bureau information, alternative data, consumer behavior, macroeconomic data, and portfolio performance metrics for quantitative, classification/decision-tree, and machine learning analyses
Translate data into insights and design, implement, and iterate strategies for profitable business growth
Review findings with senior management, including the CRO and CEO
Design and manage A/B tests, pilot programs, and controlled experiments
Define test populations, randomization logic, and success criteria
Build and maintain dashboards and reporting infrastructure for real-time strategy-performance monitoring
Monitor acquisition and portfolio performance across credit risk, fraud risk, lease amount, term, channel, and account lifecycle metrics
Monitor internal and macroeconomic performance to define risk appetite across economic environments
Partner with technology, product, and cross-functional teams on implementation and test validation
Track performance to ensure strategies meet expectations

Requirements

What you’ll need

Master’s degree in a quantitative discipline such as Statistics, Operations Research, Economics, Engineering, Data Science, or other STEM majors
Minimum 2 years in the financial industry in an analytical function
Experience in credit risk strategy/collections areas is a plus
High proficiency in business reporting and analytical tools such as Power BI and Tableau
High-level proficiency in Python, SQL, SAS, or other data mining and analytical tools
Familiarity with a decision-tree analysis tool, like Enterprise Miner, is a plus
Experience extracting business insights from data analysis and turning them into clear recommendations in the financial services/consumer lending industry
Required written response describing an analysis or model built in a financial services or lending context

Benefits

Comp & perks

80% coverage of medical, dental, and vision insurance costs, including coverage for spouse, children, and other dependents
401k plan
Flexible paid time off days starting from day one of employment