Optasia

Quantitative Risk Data Scientist, Fintech

Optasia

full-time

Posted on:

Location Type: Hybrid

Location: Athens • Greece

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Tech Stack

Python

About the role

  • Design and implement algorithmic solutions for revenues optimization though credit risk analysis.
  • Deliver credit-risk insights through big data risk analytics.
  • Development and implementation of 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.
  • Identify and evaluate credit risk factors using advanced computational methods on large datasets.
  • Develop predictive models, including both statistical and machine learning approaches, to support risk management strategies.
  • Collaborate closely with data scientists and data & machine learning engineers.
  • Continuously refine and improve risk assessment methodologies to align with evolving market conditions.

Requirements

  • Bachelor’s or master’s degree in data science, Statistics, Finance, Mathematics, or a related field.
  • Proven experience (2-5 years) in quantitative risk analysis, preferably within the financial services sector.
  • Expertise in developing and implementing algorithmic models for revenue and risk optimization.
  • Strong proficiency in statistical modeling, with experience in machine learning models.
  • Proficiency in programming languages such as Python or R, with extensive experience in big data risk analytics.
  • Demonstrated ability to develop and implement portfolio risk assessment tools.
  • Strong problem-solving skills and attention to detail in analyzing complex data sets.
Benefits
  • Flexible hybrid working
  • Competitive remuneration package
  • Extra day off on your birthday
  • Performance-based bonus scheme
  • Comprehensive private healthcare insurance
  • All the tech gear you need to work smart
  • Be a part of a multicultural working environment
  • Meet a very unique and promising business and industry
  • Gain insights for tomorrow market’s foreground
  • A solid career path within our working family is ready for you
  • Continuous training and access to online training platforms
  • CSR activities and festive events within any possible occasion
  • Enjoy comfortable open space restaurant with varied meal options every day
  • Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
algorithmic solutionscredit risk analysisbig data risk analyticsportfolio risk assessmentrisk modelspredictive modelsstatistical modelingmachine learningPythonR
Soft Skills
problem-solvingattention to detailcollaboration
Certifications
Bachelor’s degreeMaster’s degree