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Principal Analyst - Credit Risk

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Félix
Full Time position
Listed on 2026-07-18
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

About Us

At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on Whats App, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stable coins to make cross-border payments faster, more affordable, and more accessible than ever before.

We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the Cross Tech Fintech Startups Award.

We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers. We are all owners of Félix, driven by a bias for action and a true experimentation spirit to get shit done with urgency and focus.

Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long. We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence.

We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better. We are building the future, today.

About

The Role

As our Principal Analyst for Loss Mitigation & Forecasting, you will occupy one of the most vital strategic seats within the Consumer Lending business. You are not a regular reporter; you are the technical mastermind responsible for guarding our capital, forecasting portfolio losses, and optimizing how we recover capital from non-performing loans. Operating on the highest tier of our individual contributor (IC) track, you will design the data models, contact strategies, and predictive collections infrastructure that protect Félix’s balance sheet.

This role requires an absolute expert in data autonomy who can bridge the gap between heavy math modeling and aggressive operations execution.

Responsibilities
  • Loss Mitigation Strategy:
    Architect and execute next-generation loss mitigation strategies to optimize collections, and recoveries for bad loans.
  • Conversational Operations Alignment:
    Partner directly with the Operations team to define automated contact strategies, determining ideal customer methods and friction-free touchpoints (utilizing Whats App, automated flows, and omnichannel systems).
  • Predictive Collections Modeling:
    Collaborate with the Data/Analytics Engineering team to build advanced collections models (e.g., propensity-to-pay scorecards) to optimize and prioritize resources for maximum recovery ROI.
  • Loss Forecasting & Resiliency:
    Build and own loss forecasting models(CECL methodology) establishing corporate capital resiliency measures.
  • Budgeting & Capacity Planning:
    Formally manage and report on the organization's credit loss budget and operational capacity planning to the C-suite.
  • Vendor Evaluation & Procurement:
    Lead the evaluation, technical vetting, onboarding, and performance tracking of third-party credit loss collection vendors and software solutions.
Requirements
  • Elite Credit Risk Background: 5+years of proven quantitative experience in Credit Risk Analytics, with a definitive specialization in Loss Mitigation, Collections Strategy, and Loss Forecasting/Provisioning.
  • Technical Sovereignty:
    Exceptional, hands-on mastery of SQL, data pipelines, and advanced analytics/predictive modeling (Python or R). You are completely independent in building your own data structures.
  • Collections Innovation:
    Deep understanding of modern collections tech; bonus points if you have designed recovery frameworks within digital/conversational channels (Whats App/SMS ecosystems).
  • High…
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