Senior Quantitative Risk Scientist - Flexible Remote

Optasia Group; Kentucky; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Flexible remote working

Competitive remuneration package

Extra day off on your birthday

Performance-based bonus scheme

Comprehensive private healthcare insurance

Access to online training platforms

Free on-site yoga classes

Access to squash court

Job summary

A leading financial technology firm is seeking a Senior Quantitative Risk Data Scientist to join its Credit Portfolio Optimization team. The role involves designing algorithmic solutions for revenue optimization and conducting detailed risk analysis on financial products. Candidates should have extensive experience in risk analysis, statistical modeling, and programming in Python or R. A competitive remuneration package and flexible remote work options are offered.

Qualifications

• 6+ years of experience in quantitative risk analysis in financial services.
• Strong expertise in algorithmic modeling and optimization techniques.
• Proven ability to develop and implement portfolio risk assessment tools.

Responsibilities

• Design and implement algorithmic solutions for revenue optimization.
• Develop portfolio risk assessment tools and procedures.
• Identify credit risk factors using advanced computational methods.

Skills

Quantitative risk analysis

Algorithmic modeling

Statistical modeling

Machine learning

Python programming

R programming

Big data analytics

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics

PhD in a relevant field

Job description

A leading financial technology firm is seeking a Senior Quantitative Risk Data Scientist to join its Credit Portfolio Optimization team. The role involves designing algorithmic solutions for revenue optimization and conducting detailed risk analysis on financial products. Candidates should have extensive experience in risk analysis, statistical modeling, and programming in Python or R. A competitive remuneration package and flexible remote work options are offered.