Risk Strategy Manager — Fintech Data & ML Optimization

Payjoy; Ciudad de México; Presencial; MXN 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health, dental & vision insurance for

Life insurance

Co-working travel perk: $2,000 USD/yr

Professional development perk: $2,0000

MXN grocery coupons: $2,000 MXN/mo

30 days Christmas bonus

20 days paid vacation

50% vacation premium

13% saving funds

Home office equipment

Phone/Headphone allowance

Wellness perks

Descripción de la vacante

PayJoy is seeking a Risk Strategy Manager to lead risk strategy implementation across 1–2 portfolios in our fintech environment. You will focus on KPI achievement, healthy growth, and collaboration with GTM and Fraud teams while contributing technically through data extraction, modeling, and policy development.

The role emphasizes data-driven decision making, documentation, and cross-functional coordination to roll out new strategies and manage risk KPIs across portfolios.

Formación

• Experience in risk strategy within fintech.
• Strong analytics and data manipulation skills.
• Proficiency in SQL, R, or Python.

Responsabilidades

• Oversee performance and profitability of 1 or 2 portfolios.
• Prepare internal reports for review by head of risk strategy.
• Document routine processes and support strategy reviews.
• Ensure timely achievement of KPIs for the specific countries.
• Coordinate with GTM teams when rolling out new strategies.
• Write succinct documentation explaining recommendations.
• Own and manage risk KPIs for designated portfolios.
• Use SQL and R or Python for data extraction and manipulation.
• Work with Data Science to implement ML and AI models.
• Apply A/B test recommendations into policies.

Conocimientos

SQL

Python

R

Analytics

Documentation

Communication

Herramientas

ML / AI modeling

Descripción del empleo

PayJoy is seeking a Risk Strategy Manager to lead risk strategy implementation across 1–2 portfolios in our fintech environment. You will focus on KPI achievement, healthy growth, and collaboration with GTM and Fraud teams while contributing technically through data extraction, modeling, and policy development.

The role emphasizes data-driven decision making, documentation, and cross-functional coordination to roll out new strategies and manage risk KPIs across portfolios.