SENIOR QUANTITATIVE RISK ANALYST

Experis ManpowerGroup Sp. z o.o.; New York (NY); On-site; USD 85,000 - 130,000; Full time

Job summary

A leading financial services firm is seeking a Quantitative Risk Analyst to join its international team in New York. The candidate will focus on developing and validating risk models across various asset classes. This role requires expertise in quantitative finance, robust analytical skills, and the ability to communicate complex concepts to diverse stakeholders.

Benefits

Certifications and training

MultiSport

Qualifications

• Experience in financial industry with quantitative finance or risk modeling.
• Sound understanding of financial mathematics and statistics.
• Knowledge of derivative products and pricing.

Responsibilities

• Develop and maintain quantitative models for asset classes.
• Validate model performance using real-world data.
• Propose validation approaches and articulate model usage.

Skills

Quantitative finance

Risk modeling

Financial mathematics

Mathematical analysis

Statistics

Linear algebra

Derivative products knowledge

Python programming

Education

M.Sc. / Bachelor's in Quantitative Finance

Physics

Mathematics

Job description

You will be part of the international GRA Traded and Operational Risk Analytics team, responsible for the development and validation of market, operational, and liquidity risk models for the entire Group. The team builds modern analytical tools used in risk reporting and regulatory compliance, collaborating closely with offices in London, New York, Paris, and Hong Kong. Your responsibilities will focus on designing, developing, and maintaining quantitative models for various asset classes (including Credit, Interest Rates, FX, and Equity), as well as supporting their validation and practical implementation.

Key Accountabilities :

• Identify areas for improvements, automation and enhanced controls for risk models for all asset classes
• Assess and validate performance of the models using real world data
• Understand features, assumptions and limitations of the models, propose a validation approach, identify target market data and undertake validation
• Develop new models (methodology and computing tools) to cover new / identified risks
• Articulate our modeling approach to internal and external stakeholders (incl. regulators) in a non-technical language if required
• Assist in the on-going application of the models in a business-as-usual risk management framework

Requirements :

• Experience in the financial industry involving quantitative finance and / or risk modelling
• M.Sc. / Bachelor holder in Quantitative Finance / Physics / Mathematics or related disciplines
• Sound understanding of financial mathematics, mathematical analysis, statistics and linear algebra
• Sound understanding of risk measures
• Knowledge of derivative products and their pricing
• Nice to have / Preferred : knowledge of Python programming language;other programming skills are a plus

Benefits :

• Certifications and training
• MultiSport

The offer applies to permanent work.

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