Senior Quantitative Risk Data Scientist, Fintech
Core
Design and implement algorithmic solutions for revenue optimization through credit risk analysis and portfolio optimization.
Role type
Senior IC quantitative risk data scientist (fintech)
Builds
Credit risk assessment tools, predictive models, and portfolio optimization strategies for microloans and financial products.
Domain
Fintech / Credit Risk / Algorithmic Trading
Deliverable
production ML models | product features
Required skills
quantitative risk analysis, algorithmic modeling, optimization techniques, statistical modeling, machine learning, Python, R, big data analytics
Preferred skills
PhD in Data Science/Statistics/Finance/Mathematics, experience with secure code development guidelines (OWASP, NIST)
Technologies
Python, R
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; Mentor and guide junior and mid-level quants; Continuously refine risk assessment methodologies to align with evolving market conditions.
Seniority
Senior, hands-on IC with mentorship
