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Risk Analysis Developer

X4 Technology
Posted 6 days ago, valid for 17 days
Location

London, Greater London EC1R 0WX

Salary

£60,000 - £72,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Risk Quant Developer position is based in South East London and offers a daily rate of £700-£725 inside IR35.
  • Candidates should have a Master's or PhD in a quantitative field and experience in building and deploying financial risk models and systems.
  • The role involves developing quantitative models for market, credit, and liquidity risk, as well as collaborating with trading and risk teams.
  • Strong programming skills in Python or C++ and familiarity with risk management tools are essential for this position.
  • The contract length is between 6-12 months with a chance for extension, and the interview process consists of two stages.

Position: Risk Quant Developer

Location: South East London (Hybrid – 3 days onsite per week)

Rate: £700-£725/Day Inside IR35

Start Date: ASAP

Interview Process: 2 stage

Contract Length: 6-12 months + chance for extension

Risk Quant Developer Key Responsibilities:

  • Develop and implement quantitative models for market, credit, and liquidity risk.
  • Build and maintain risk management systems, including tools for portfolio risk analysis, stress testing, and scenario analysis.
  • Collaborate with trading and risk teams to understand risk exposures and implement risk models.
  • Design, develop, and deploy quantitative analytics and tools for real-time risk monitoring and reporting.
  • Optimize performance of risk models, ensuring they scale for large datasets and complex instruments.
  • Assist in the development of new risk methodologies and improve existing ones.
  • Perform in-depth testing and validation of risk models to ensure accuracy and robustness.
  • Provide ongoing technical support and enhancements for risk management applications.

Risk Quant Developer Key Qualifications:

  • Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar.
  • Strong programming skills in languages ideally in Python or C++
  • Solid understanding of financial markets, derivatives, and risk management practices.
  • Experience in building and deploying financial risk models and systems.
  • Familiarity with risk management tools like VaR (Value at Risk), CVaR, Monte Carlo simulations, stress testing, and scenario analysis.
  • Knowledge of databases (SQL, NoSQL) and data analytics tools (e.g., pandas, NumPy, R).
  • Experience working with large financial datasets and performance optimization in risk management applications.
  • Experience of working within the financial services, trading or investment banking space - highly desirable

If this role is of interest, please apply now. 

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.