Senior Data Scientist, RC Capital

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist, RC Capital in Mexico.

This role offers the opportunity to be the founding Data Scientist within a fast-growing fintech initiative focused on scaling innovative financial products for mobile developers.
You will design and own the core data science strategy powering underwriting, fraud detection, and risk modeling from the ground up.
Your work will directly influence real financial decisions tied to high-volume global app revenue streams.
You will collaborate closely with Product and Engineering teams to embed data-driven risk intelligence into production systems.
This is a highly impactful position where your models will shape how capital is deployed safely and efficiently.
Operating in a fast-moving, ambiguous environment, you will help define both the technical foundation and long-term vision of a new financial product line.

Accountabilities:

• Own and define the data science strategy for underwriting, fraud detection, and lead qualification systems from inception to production-scale deployment.
• Build, validate, and maintain advanced machine learning models that assess financial risk using real-time, cross-platform revenue and behavioral data.
• Develop anomaly detection and fraud prevention systems that safeguard financial transactions while enabling business growth.
• Partner with Product and Engineering to integrate risk signals into decision engines and customer-facing workflows.
• Analyze large-scale datasets to generate insights that improve credit models, product design, and financial decisioning frameworks.
• Establish performance measurement frameworks to track model effectiveness and continuously improve predictive accuracy and business impact.

Requirements:

• 5+ years of experience in data science, ideally within fintech, credit, lending, payments, or similarly risk-intensive domains.
• Strong expertise in fraud detection, underwriting, or risk modeling with demonstrated experience in financial decision systems.
• Advanced proficiency in SQL and Python, with experience building, deploying, and monitoring production machine learning models.
• Strong understanding of statistical modeling, machine learning techniques, and real-world data constraints in financial contexts.
• Familiarity with mobile app ecosystems or subscription-based digital products is highly desirable.
• Proven ability to operate independently in ambiguous environments, making high-impact decisions with limited information.
• Strong systems thinking mindset with the ability to scale solutions and identify automation opportunities.
• Ownership mentality with a strong bias for action, execution, and measurable impact.

Benefits:

• Competitive equity package in a high-growth, Series C-backed organization supported by leading investors.
• Fully remote and flexible work environment across global locations.
• 4–5 weeks of recommended annual time off for rest and recharge.
• $2,000 USD home office setup allowance.
• $1,000 USD annual learning and development stipend.
• Long-term 10-year window to exercise vested equity options.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1