Hi,

Hope you are good.

Please find the below requirement and let me know if you have any suitable
resources..



*Role: QA with Quant,*

*Location: Chicago IL,*

*Rates: Please give at the market rate,*

*Contract to Hire after 3 months.*


*Job Description: *


The Model Validation Analyst will be responsible for functional and
integration testing of complex Risk/Pricing Models that evaluate
counterparty exposures to the Clearing House. These include models related
to Pricing, Value-at-Risk, Stress Testing, Liquidity, Regulatory Capital,
and also developing tools for Portfolio Analytics (Sensitivities, Risk
Reports, Margin Coverage, etc.). In terms of the asset classes, this role
would fit someone with either strong academic knowledge or work experience
in OTC (IRS, FX, and CDS) or Commodities/Futures asset classes. In terms of
model validation skills, it requires a good knowledge or ability to learn
advanced pricing models (Options) and risk methods like Monte Carlo,
Volatility Forecasting, Correlation Analysis, Liquidity Risk, etc.
Expertise in statistical testing and prior experience with theoretical
justifications of Risk Models is also a helpful experience for this role.

This position will also entail significant interaction with the
Quantitative Model Development team and help implement and perform
continuous validations and enhancements of these risk models. This role
would require the ability to multi-task and operate under aggressive
deadlines..

Principle Responsibilities:

ü  Develop test strategies and test cases to validate quantitative risk
models across different asset classes like OTC and Futures (e.g. Pricing,
VaR, Backtest, Stress, Liquidity, etc.).

ü  Develop automation tools and regression testing procedures to ensure
seamless deployment and continuous improvement of these models within the
Production Infrastructure of CME

ü  Ensure testing strategy covers for business driven differences across
environments, model versions, and other configurations

ü  Develop and execute testing strategy for frequent migration of new code
into Production Parallel and Production

ü  Maintain and enhance process for defects management and change control
for model changes

ü  Build and foster key relationships with the quantitative model
development team through regular interaction and aligned deliverables;

ü  Provide support and input to internal risk system improvement
initiatives.





Minimal Qualifications:



ü  MBA/MS in Financial Engineering,  or a quantitative field and possesses
strong quantitative, analytical and problem solving skills

ü  Academic knowledge related to pricing complex derivatives and performing
advanced statistical analysis on underlying risk factors (returns’
distribution, volatility, correlations, etc.)

ü  Familiarity with fixed income asset classes – plain vanilla types and
derivatives - and market conventions, in at least one of the following
(Interest rate Swaps, Swaptions, OTC_FX, CDS, Energy)

ü  Exposure to risk/trade capture systems; experience in risk system design
or QA; Preference will be given to candidates who have worked in a team on
full-cycle projects to implement risk models like Historical VaR, Monte
Carlo VaR, Multi-Factor Risk Models, Stressed VaR, Liquidity Risk models,
etc.

ü  Excellent organizational skills in terms of QA, test strategy
preparation, test cases development, and functional/regression testing

ü  High degree of SQL and Java/C#VBA and Excel skills are also essential.

ü  Solid understanding of configuration management and release control
process (e.g. GIT repositories, Daily build deployments, etc.)

ü  The successful candidate must also possess strong oral and written
communication skills.

ü  4+ years of overall financial industry experience

*Thanks and regards.*

*       suresh Kotturu*



 *O : 281-823-9222 X 528|F : 281-823-9225 |  **E :[email protected]
<[email protected]>*

*Gtalk: [email protected] <[email protected]> .*

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