Credit Risk Data Scientist — Fintech, Remote
Optasia Group
14 days+
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Benefits offered by this job
Job summary
A leading financial technology company in Kentucky is seeking a Quantitative Risk Data Scientist to contribute to advanced algorithmic trading and portfolio optimization. This role requires a strong background in quantitative analysis, statistical modeling, and machine learning, alongside proficiency in Python and R. The ideal candidate will collaborate with traders and data engineers to enhance decision-making processes and risk management strategies. A competitive remuneration package and flexible remote working options are offered.
Qualifications
- 2-5 years experience in quantitative risk analysis, preferably in financial services.
- Expertise in algorithmic models for revenue and risk optimization.
- Proficiency in big data risk analytics.
Responsibilities
- Design and implement algorithmic solutions for revenue optimization.
- Deliver credit-risk insights through big data risk analytics.
- Develop portfolio risk assessment tools.
Skills
Quantitative risk analysis
Statistical modeling
Machine learning
Problem-solving
Education
Bachelor’s or master’s degree in related field
Tools
Python
R
Job description
A leading financial technology company in Kentucky is seeking a Quantitative Risk Data Scientist to contribute to advanced algorithmic trading and portfolio optimization. This role requires a strong background in quantitative analysis, statistical modeling, and machine learning, alongside proficiency in Python and R. The ideal candidate will collaborate with traders and data engineers to enhance decision-making processes and risk management strategies. A competitive remuneration package and flexible remote working options are offered.
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