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Lendable

Senior Credit Risk Manager – Cards

Lendable

Senior Credit Risk Manager overseeing credit strategies and performance for fintech credit card portfolio. Collaborating with teams to optimize decisions and drive business growth.

Posted 6/29/2026full-timeVirginia • Virginia • 🇺🇸 United StatesSenior💰 $175,000 - $250,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in credit risk strategy and data analysis, utilizing Python and SQL to drive insights and optimize credit decisioning. Capable of developing models for forecasting returns and enhancing credit performance through strategic collaboration and experimentation.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyCredit Risk StrategyStatistical InferenceCredit Performance Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Credit Risk StrategyData AnalysisStatistical InferenceModel DevelopmentExperimentation Design
Soft Skills
Strategic ThinkingCollaborative MindsetProactive Problem-SolvingResults-FocusedGrowth Mindset
Tools & Technologies
Analytics SuiteMonitoring Tools
Industry Keywords
Consumer LendingCredit DecisioningUnit EconomicsPortfolio Management

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Build a high-performing credit card portfolio with ambitious growth targets and a commitment to responsible lending
  • Optimize credit decisioning including who to lend to, limits to set, and rates to offer
  • Define and refine credit strategies that align with evolving portfolio goals, staying ahead of economic trends and adapting accordingly
  • Own the end-to-end testing ecosystem — experimentation design, implementation standards, and statistically sound result interpretation
  • Build and own a monitoring & analytics suite that gives a clear, end-to-end view of credit performance and unit economics, and serves as a single source of truth for senior leadership
  • Develop and own models that forecast returns, value the portfolio, and drive investor reporting
  • Discover data-driven insights using Python and SQL to address key business questions
  • Collaborate cross-functionally with product, engineering, data, and operations teams to implement and improve strategies
  • Continuously monitor the effectiveness of credit strategies and identify areas for improvement

Requirements

What you’ll need
  • Daily coding experience with Python and SQL
  • Proven experience in credit risk strategy within finance, ideally within consumer lending
  • Deep understanding of experimentation, measurement, and statistical inference (power, significance, bias, causality, guardrails)
  • Strong understanding of credit performance and unit economics in lending
  • Strategic thinking and ability to translate complex data into clear, actionable decisions
  • Results-focused mindset balancing business and customer needs
  • Collaborative, growth mindset and willingness to challenge your own assumptions
  • Strong sense of ownership and proactive problem-solving attitude

Benefits

Comp & perks
  • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
  • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
  • Health coverage: support for your physical and mental wellbeing, including private health cover
  • Retirement & savings: long-term financial wellbeing through retirement savings plans
  • Employee referral programme: earn a competitive bonus when you refer successful new team members
  • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
  • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations