companyOptasia logo

Senior Quantitative Risk Data Scientist - Fintech

OptasiaAthens, Attica, Greece
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Senior

Qualifications

What You Will BringBachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics, or a related field; a PhD is highly desirable. A minimum of 6 years of extensive experience in quantitative risk analysis, with a solid track record in the financial services sector. In-depth expertise in algorithmic modeling and optimization techniques, particularly focused on revenue and credit risk management. Advanced skills in statistical modeling and machine learning methodologies. Strong coding proficiency in languages such as Python or R, with significant experience in big data risk analytics. Demonstrated ability to make strategic decisions in high-pressure environments.

About the job

Optasia is a leading B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion for everyone, and we are passionate about transforming the financial landscape.

We are on the lookout for dynamic and motivated professionals who are results-oriented and possess a proactive mindset. Join a team of like-minded individuals who are innovating solutions in an exciting work environment. As a Senior Quantitative Risk Data Scientist, you will play a crucial role in Optasia's algorithmic trading and portfolio optimization unit. As part of the Credit Portfolio Optimization team, you will merge your expertise in risk management, research, and technology to implement trading strategies across various projects. You will utilize your insights and knowledge to make real-time critical decisions while collaborating with experienced traders, big data specialists, and machine learning engineers to optimize system performance.

Your Responsibilities

  • Develop and implement algorithmic solutions aimed at optimizing revenues through credit risk analysis.
  • Generate credit-risk insights using advanced big data analytics.
  • Create and execute portfolio risk assessment tools and procedures to effectively monitor and manage credit risk.
  • Conduct in-depth risk analysis on microloans and other financial products, refining risk models to enhance decision-making processes.
  • Identify and assess credit risk factors using sophisticated computational techniques on extensive datasets.
  • Build predictive models, employing both statistical and machine learning methods, to bolster risk management strategies.
  • Work collaboratively with fellow data scientists and machine learning engineers.
  • Continuously enhance and refine risk assessment methodologies to keep pace with evolving market conditions.
  • Mentor junior and mid-level quantitative analysts, fostering an environment of collaboration and knowledge sharing.
  • Stay informed about industry trends, emerging technologies, and evolving methodologies to maintain best-in-class risk management practices.

About Optasia

Optasia is at the forefront of financial technology, providing innovative solutions that empower financial inclusion for all. Our comprehensive platform integrates scoring, financial decision-making, disbursement, and collection processes to transform how businesses and individuals interact with finance.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.