Quantitative Risk Data Scientist, Fintech

Optasia
Athens
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: bachelorsSkills: ["Problem-solving","Attention to detail","Communication","Self-motivation","Initiative"]

Design and implement algorithmic credit-risk solutions to support revenue optimization and portfolio management. Deliver big-data risk analytics and build statistical and machine-learning models to assess risk for microloans and other financial products. Develop portfolio risk assessment tools and continuously refine methodologies as market conditions evolve, partnering with traders, and data and machine-learning engineers to improve real-time system performance.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Optasia
Optasia
2 days ago

Quantitative Risk Data Scientist, Fintech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Design and implement algorithmic credit-risk solutions to support revenue optimization and portfolio management. Deliver big-data risk analytics and build statistical and machine-learning models to assess risk for microloans and other financial products. Develop portfolio risk assessment tools and continuously refine methodologies as market conditions evolve, partnering with traders, and data and machine-learning engineers to improve real-time system performance.
Location: Athens
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement algorithmic solutions for revenue optimization through credit risk analysis.
  • •Deliver credit-risk insights using big data risk analytics.
  • •Develop and implement portfolio risk assessment tools and procedures to monitor and manage credit risk.
  • •Conduct detailed risk analysis on microloans and other financial products, optimizing risk models to improve decision-making.
  • •Develop predictive models (statistical and machine learning) and continuously refine risk assessment methodologies in response to market changes.

Pay and Benefits

Perks:Hybrid WorkingHealth InsuranceBirthday OffAnnual Bonus

Key Requirements

  • •Bachelor’s or master’s degree in data science, statistics, finance, mathematics, or a related field.
  • •2-5 years of quantitative risk analysis experience, preferably in financial services.
  • •Experience developing and implementing algorithmic models for revenue and risk optimization.
  • •Strong statistical modeling skills with experience applying machine learning models.
  • •Programming proficiency in Python or R and experience with big data risk analytics.
Experience:2-5 yearsFintech
Education:Bachelor's
Skills:Problem-solvingAttention to detailCommunicationSelf-motivationInitiative
Tech Stack:PythonRMachine learningBig dataStatistical modelingOWASPNIST

Company Brief

Optasia
Operates a digital health platform delivering online mental health and therapy services, connecting users with licensed therapists and providing tools for wellbeing, counselling, and remote treatment management to improve access to behavioral healthcare.
Industry: Mental Health
Website