Quantitative Risk Data Scientist, Fintech
Core
Design and implement algorithmic solutions for revenue optimization through credit risk analysis and portfolio risk assessment for microloans and financial products.
Role type
Quantitative Risk Data Scientist
Builds
Credit risk models, portfolio risk assessment tools, and predictive models for financial decisioning.
Domain
Fintech / Credit Risk / Algorithmic Trading
Deliverable
production ML models
Required skills
quantitative risk analysis, statistical modeling, machine learning, Python, R, big data risk analytics, portfolio risk assessment, advanced computational methods
Preferred skills
experience in financial services sector, secure code development guidelines (OWASP, NIST)
Responsibilities
Design and implement algorithmic solutions for revenue optimization; Deliver credit-risk insights through big data risk analytics; Develop predictive models using statistical and machine learning approaches; Identify and evaluate credit risk factors using advanced computational methods; Continuously refine risk assessment methodologies; Collaborate with data scientists and machine learning engineers
Seniority
Mid-level, hands-on IC
