Trovy Logo

Trovy

Senior Risk Manager, Cards

Posted Yesterday
Be an Early Applicant
In-Office
New York City, NY, USA
160K-190K Annually
Senior level
In-Office
New York City, NY, USA
160K-190K Annually
Senior level
Lead card portfolio analytics and fraud risk for Trovy's card product. Build reporting, cohort/vintage analyses, interchange and economics models, and fraud detection rules and controls. Monitor fraud trends, manage chargeback analytics, evaluate third-party tooling, design experiments, and communicate results to leadership, partners, and the board.
The summary above was generated by AI

Role Overview

We're seeking a Senior Risk Manager, Cards to own the data and risk intelligence behind Trovy's card product. You'll build the analytics infrastructure that drives card portfolio strategy, monitor and manage transaction fraud, and deliver the insights that keep Trovy's card performing well for both borrowers and the business. This role has clear ownership distinct from Trovy's credit and underwriting function, which focuses on origination and HELOC servicing. You'll work closely with our BIN sponsor and card network partners, and have direct influence on how Trovy's card product evolves. This is a senior IC role with meaningful growth potential as the card portfolio scales.

Key Responsibilities

Card Portfolio Analytics

  • Own end-to-end card portfolio analytics: spend behavior, draw patterns, utilization, interchange economics, and cardholder engagement

  • Build and maintain portfolio performance reporting for internal leadership, board, and lending partners

  • Develop cohort and vintage analyses to track cardholder behavior over time and identify trends early

  • Analyze the relationship between card usage and HELOC draw activity to surface insights on product engagement and cross-product behavior

  • Model interchange revenue, rewards cost, and net card economics to inform product and pricing decisions

  • Partner with finance on card-related forecasting and portfolio projections

Fraud Risk & Detection

  • Own Trovy's card fraud strategy across transaction fraud, card-not-present fraud, account takeover, and friendly fraud

  • Build and maintain fraud detection rules, velocity controls, and behavioral models in partnership with product and engineering

  • Monitor fraud loss trends by channel, merchant category, and cardholder segment, and respond to emerging patterns in real time

  • Manage chargeback and dispute analytics, including win rate tracking and root cause analysis

  • Evaluate and optimize third-party fraud tooling

  • Coordinate with Trovy's BIN sponsor on fraud reporting, rule alignment, and network compliance requirements

Experimentation & Optimization

  • Design and analyze experiments across fraud controls, card features, and rewards, balancing loss reduction with cardholder experience

  • Build frameworks to evaluate the tradeoff between fraud prevention and false positive rates on legitimate transactions

  • Develop prioritization models for fraud intervention investments based on loss impact and operational cost

Reporting & Stakeholder Communication

  • Deliver regular fraud and portfolio performance readouts to leadership, with clear narratives and recommended actions

  • Support board and investor reporting with accurate card portfolio metrics

  • Communicate fraud trends and control changes to bank and network partners in a clear, structured format

  • Translate complex analytics into actionable recommendations for non-technical stakeholders across product, compliance, and operations

Qualifications

  • 7+ years of experience in card analytics, fraud risk, or a closely related field at an issuer, fintech, or payment network

  • Deep expertise in card transaction fraud — CNP, ATO, friendly fraud — and the detection and prevention tooling that supports it

  • Strong card portfolio analytics background: interchange, spend analytics, utilization, cohort analysis, and cardholder behavior modeling

  • Advanced SQL skills; proficiency in Python or R strongly preferred

  • Experience with fraud detection platforms such as Feedzai, Sardine, Sift, or similar — ability to evaluate and optimize tooling is a plus

  • Familiarity with Mastercard or Visa network rules, chargeback processes, and BIN sponsor relationships

  • Card issuer experience required (fintech or bank)

  • Comfortable operating as a senior IC in a fast-moving, early-stage environment

What You'll Bring

  • Deep analytical instincts — you live in the data and know how to find the signal in the noise

  • A proactive approach to fraud risk — you're thinking three steps ahead, not just reacting to losses

  • Strong judgment on when to tighten controls and when friction hurts more than it helps

  • Ability to build from scratch — frameworks, models, and reporting infrastructure that didn't exist before you arrived

  • Clear, confident communication with both technical teams and senior leadership

Compensation & Benefits

  • Compensation: Base Salary: $160,000 - $180,000 + Meaningful equity participation.

  • Market Opportunity: Join a team tackling the $30T home equity market.

  • Early Impact: Help shape our operations from the ground up.

  • Ownership: Competitive salary, meaningful equity, and room to grow.

  • Success: No sales commissions; your success is measured by customer outcomes, not volume

  • Location: On-site, New York

  • Benefits: 401K account, 100% company-paid dental, medical, vision and life insurance, flexible time off, and more.

Similar Jobs

3 Hours Ago
Hybrid
New York, NY, USA
95K-120K Annually
Senior level
95K-120K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Serve as a technical functional analyst for risk-related programs, gathering and influencing requirements, coordinating vendors and development teams, managing project plans, timelines, budgets, and test plans, and integrating cloud and AI solutions into GRC and risk-management systems. Produce leadership-level documentation and status reporting while collaborating with Architecture, Risk IT, and business partners to deliver technical solutions that improve risk capabilities.
Top Skills: AIAzure DevopsCloudPower BIPowerPointPythonSQL
4 Hours Ago
Hybrid
70K-95K Annually
Senior level
70K-95K Annually
Senior level
Information Technology • Insurance • Software
Serve as a trusted advisor leading complex enterprise SaaS implementations for MGA/insurance clients. Gather requirements, configure applications, execute data conversions, manage full project lifecycle, deliver training and UAT, liaise with product/engineering, mentor consultants, and ensure projects meet scope, budget, timeline, and quality targets.
Top Skills: AgileBackend Development SystemsMS OfficePmbokPolicy Administration SystemsRatersSaaSVertafore
4 Hours Ago
Remote or Hybrid
New York, NY, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead the global obligations management function: design and maintain a centralized obligations register, map legal and partner mandates to controls, manage RFI knowledge base and audit register, ensure traceability and remediation, partner with regional legal/compliance/audit teams, and scale the team and GRC tooling to replace manual trackers.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account