Staff Data Scientist, Cashalo

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Fintech • Analytics • Financial Services
The Role
Build and refine underwriting and loss-prediction models using alternative data; develop features and end-to-end credit models; partner with credit, engineering, and leadership; present findings to non-technical stakeholders; operate in a lean, high-growth environment (remote role with occasional travel).
Summary Generated by Built In
Join the Tilt team

At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward.

The Opportunity: Staff Data Scientist

We’re hiring for a Staff Data Scientist to help expand Tilt’s credit modeling and risk analytics capability for our Philippines-based business, Cashalo.

This is a high impact role with a direct mandate to build and refine underwriting models as well as other models, working at the intersection of credit, data science, and leadership.

You’ll collaborate with a lean but growing team, applying advanced modeling techniques to predict loss performance, leverage alternative data sources, and build next-generation tools that shape credit access for millions.

This is a 100% remote role that requires travel 2-4 times/year.

How You'll Make an Impact
  • Cashalo is undertaking a solid turn in unit economics with a view to growing to being the largest fintech in PH, and this is an opportunity to build foundational credit models and features from the ground up.

  • With direct exposure to leadership, your work will shape both near-term lending performance and long-term data infrastructure.

  • You will partner directly with cross-functional teams across credit, engineering, and leadership, bringing strong project and stakeholder management skills to a lean, fast-growing team.

  • Work with alternative data where the underwriting process and modeling reflect the maturity of the market

Why You're a Great Fit
  • Deep expertise in predictive modeling, ideally within credit risk or actuarial settings.

  • Strong proficiency in Python, SQL, and ML libraries like scikit-learn, LightGBM, XGBoost.

  • Familiarity with AI tools such as GitHub Copilot or LLM-based assistants.

  • Experience building models from scratch.

  • Strong stakeholder management skills; experience partnering with cross-functional teams to drive outcomes.

  • Clear communication skills, including the ability to present complex findings to non-technical leadership.

  • Experience working in high-growth, ambiguous environments with lean teams.

Nice-to-haves
  • Fintech experience - especially in credit/lending models or alternative underwriting.

  • Familiarity with legacy credit systems and how to modernize them.

  • Familiarity with funnel management and ways to novate reject rules into modeling outcomes

  • Exposure to the Philippines' credit markets and ability to transfer insights between geographies.

  • Experience with models across the loan life cycle

  • Knowledge of deep learning frameworks (TensorFlow, PyTorch) and modelling (CNN, RNN) — a plus but not essential.

Our Interview Process
  1. Initial Recruiter Call: A conversation to learn about your experience and what you're looking for in your next role.

  2. Hiring Manager Interview: A deeper discussion about your background and approach to solving challenges.

  3. Skills Panel: Meet with Tilt and Cashalo team members to discuss your expertise and problem-solving approach through real-world scenarios.

  4. Leadership Conversation: A final conversation with our CEO to discuss our mission and how you could contribute to it (and how we can help you achieve your career goals along the way).

Don’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you.

What you'll get at Tilt
  • Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement.

  • Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity.

  • Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards.

  • Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly.

  • Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.)

  • Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.

The Tilt Way

We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures.

You’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

Skills Required

  • Deep expertise in predictive modelling, ideally within credit risk or actuarial settings
  • Proficiency in Python
  • Proficiency in SQL
  • Experience with ML libraries such as scikit-learn, LightGBM, XGBoost
  • Experience building models from scratch
  • Familiarity with AI tools (e.g., GitHub Copilot or LLM-based assistants)
  • Strong stakeholder management skills and ability to partner cross-functionally
  • Clear communication skills; present complex findings to non-technical leadership
  • Experience working in high-growth, ambiguous environments with lean teams
  • Fintech experience, especially credit/lending
  • Familiarity with legacy credit systems and modernization approaches
  • Familiarity with funnel management and converting reject rules into modeling outcomes
  • Exposure to the Philippines' credit markets
  • Experience with models across the loan life cycle
  • Knowledge of deep learning frameworks (TensorFlow, PyTorch) and models (CNN, RNN)
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
252 Employees
Year Founded: 2012

What We Do

At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward.

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