**Role: Quantitative Financial Analyst - Python** **Location: Tampa, FL – 33620 (Hybrid – 3 days onsite per week)** **Position type: 10+ months with high possibility of extension/Conversion** **Pay rate between $80 - $87/hr on W2** **Responsibilities** 1. Develops, enhances, and validates the methods of measuring and analyzing risk and addresses deficiency of current counterparty credit risk models. 2. Performs rigorous ongoing model performance tests for all counterparty credit risk model production regularly by means of back testing, impact analysis, statistical analysis, etc. 3. Enhances BAU back testing to meet the regulatory guidelines. 4. Prepares detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards. 5. Present key findings in model development and enhancement to senior management and supervisory authorities. 6. Support trading book credit risk management: calculate portfolio level counterparty exposure such as EPE, EAD, CVA, used for both internal risk management, regulatory capital calculation and stress testing. 7. Develops unified library package to automate the ongoing model performance monitoring and create related unit tests for coding quality assessment. 8. Develops tutorials and documentation for widespread library usage among quantitative risk team members and risk managers. **Qualifications:** 1. Proficiency in programming language (e.g. **Python, R, C++, shell scripts** ) is required 2. Solid knowledge in applied mathematics, statistics, numerical methods. 3. Experience in analyzing large and complex datasets. 4. Experience in developing and maintaining detailed technical documentation for models, model validation, project plans and processes. 5. Experience in quantitative finance or a related field preferred 6. Proficient in Microsoft Office with an emphasis on MS Excel 7. Consistently demonstrates clear and concise written and verbal communication skills 8. Self-motivated and detail oriented 9. Demonstrated project management and organizational skills and capability to handle multiple projects at one time. **Education:** Master's degree in quantitative field (e.g. quantitative finance, finance engineering, economics, computer science, statistics, mathematics, engineering, etc.) with 2 years of relevant experience OR Ph.D. degree in quantitative field (e.g. quantitative finance, finance engineering, economics, computer science, statistics, mathematics, engineering, etc.) with research experience in modeling and numerical simulation. If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! **About ManpowerGroup, Parent Company of:** **Manpower, Experis, Talent Solutions, and Jefferson Wells** _ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands –_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _–_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.