Data-Driven Risk Analyst (SQL/Python) for Credit

StartX

Bogotá

On-site

COP 123,713,000 - 201,033,000

Full time

14 days+

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Benefits offered by this job

Health for employees and family
20 days vacations
Co-working Travel perk
Professional Development perk
Home office equipment allowance
Catered lunches

Job summary

PayJoy is hiring a Risk Analyst to scale its point-of-sale credit portfolio across LATAM and other markets. You will use PayJoy's data warehouse to build analyses, policies, and dashboards that optimize risk outcomes and profitability across countries.

In this role you will extract datasets with SQL and Python or R, propose actionable steps, and work with Data Science to implement ML models. You will document analyses and communicate insights to executives, product, engineering and go-to-market

Qualifications

  • Bachelor’s degree in Finance, Economics, Mathematics, or similar.
  • 2+ years in rigorous analytical/empirical role.
  • Strong analytical and problem-solving abilities.

Responsibilities

  • Use SQL and R or Python to extract and manipulate data.
  • Provide actionable recommendations to improve outcomes.
  • Collaborate with Data Science to deploy ML models that optimize portfolio outcomes.
  • Create dashboards measuring performance of credit portfolios and A/B tests.
  • Document analyses and recommendations clearly.

Skills

Analytical skills
SQL
Python or R
Statistical tools
Large datasets
Consumer finance

Education

Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineer or similar

Tools

Python
R

Job description

PayJoy is hiring a Risk Analyst to scale its point-of-sale credit portfolio across LATAM and other markets. You will use PayJoy's data warehouse to build analyses, policies, and dashboards that optimize risk outcomes and profitability across countries.

In this role you will extract datasets with SQL and Python or R, propose actionable steps, and work with Data Science to implement ML models. You will document analyses and communicate insights to executives, product, engineering and go-to-market

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