The Role
Develop and validate in-house margin models for single-name and index CDS, calibrate shocks using historical time series, prototype and test implementations, perform daily benchmarking/backtesting vs VaR and P/L, and support model documentation and Model Risk Management actions.
Summary Generated by Built In
Job Description
Hi,
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.*
Job Title: Risk Analyst
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:
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 InformationJob 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:
- 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.
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.
All your information will be kept confidential according to EEO guidelines.
Skills Required
- Must be able to work on W2 (eligible to be employed as a W2 contractor)
- Master's degree in financial engineering, mathematics, statistics, physics, computer science, or equivalent (PhD preferred)
- Advanced programming skills in Python
- Solid understanding of derivatives pricing
- In-depth understanding of Value at Risk (VaR) and statistical estimation methods
- Experience in quantitative modeling or model validation
- Strong written and verbal communication and collaboration skills
- Ability to independently identify, suggest, and resolve issues (proactive problem solving)
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The Company
What We Do
Randstad is a global leader in the HR services industry and a Dutch multinational human resource consulting firm. Founded in 1960 and headquartered in Diemen, Netherlands, it provides outsourcing, staffing, consulting, and workforce solutions. The company connects job seekers with employers across various sectors, including finance, technology, healthcare, and manufacturing, helping people secure rewarding jobs and stay relevant in the ever-changing world of work.
