Risk Analyst

Randstad

Chicago (IL)

On-site

USD 70,000 - 110,000

Full time

14 days+

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Job summary

A leading recruitment agency is seeking a contractor in Chicago, IL, to contribute to critical margin model development. The ideal candidate should hold a PhD or Master's in a quantitative field and possess advanced Python programming skills. Responsibilities include performing statistical analysis, enhancing margin methodologies, and developing benchmarking processes. Strong communication skills are essential for collaboration with technology teams. This is a W2 position lasting for 6 months.

Qualifications

  • PhD (preferred) or Master's degree in quantitative fields such as financial engineering, mathematics, statistics, physics, or computer science.
  • Advanced programming skills in Python.
  • Solid understanding of derivatives pricing.
  • In-depth understanding of Value at Risk and statistical estimation methods.

Responsibilities

  • Perform statistical analysis to calibrate shocks for margin calculation.
  • Review current methodology to enhance margin adequacy.
  • Prototype models for implementation by the technology team.
  • Develop processes for daily benchmarking and backtesting.
  • Support ad-hoc analysis for model documentation.

Skills

Statistical analysis
Programming in Python
Communication skills
Understanding of derivatives pricing
Value at Risk understanding
Quantitative modeling

Education

PhD or Master's degree in quantitative fields

Job description

This is Raju. I am Recruiter at Randstad Technologies and I am reaching out in regards to your background. I have an exciting opportunity

*Candidates MUST be able to work on W2 to qualify for this role.*

Duration: 6 Months

Location: Chicago, IL

Job Description

This contractor position will be conducting a critical part of the in-house margin model development for corporate and sovereign single name CDS and CDS Index. The margin model outcome will be used in charging initial margin amount to clients. Another key contribution will be on development of analytical processes to perform on-going monitoring of model performance through Benchmarking against VaR and Backtesting against P/L (or change in MTM). The incumbent shall possess excellent quantitative / analytic skills and communication skills to deliver concrete/clear requirements to various Technology teams for implementation and to prepare/discuss model documentations with Model Risk Management.

Responsibilities and Qualifications
  • Perform statistical analysis to calibrate shocks for various margin components to be used in margin calculation using historical time series.
  • Review current methodology to enhance margin adequacy.
  • Prototype models for technology team’s implementation and test technology team’s implementation to ensure margin accuracy.
  • Develop a processes to perform benchmarking and backtesting on a daily basis. Identify, analyze, explain any overages.
  • Support ad-hoc analysis for model documentations/submissions and aid in addressing required action items raised by model risk management group. Required Skill: PhD (preferred) or Master’s degree in quantitative fields such as financial engineering, mathematics, statistics, physics, computer science, or equivalent.
  • Advanced programming skills in python.
  • Solid understanding of derivatives pricing.
  • In depth understanding of Value at Risk and statistical estimation methods.
  • Strong communication (both written and verbal) and collaboration skills. (this project involves communicating with various groups within the firm)
  • Experience in quantitative modeling or validation experience.
  • Effective thinking skill to be able to independently and proactively identify/suggest/resolve issues.

Please have a look at the below job requirement and reply back to me with your latest word format resume ASAP. Do let me know the best contact number to reach you.

Note: If you feel this job description does not suit your profile then kindly let me know your preferred job roles so that I can be in touch with you with similar jobs and you can refer me a suitable person for this job as well. Hope to hear from you soon.

Additional Information

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