Associate Quantitative Analyst, Model Validation at Jefferies

City of London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, Risk Management, Analytical Skills, Programming, Communication Skills, Teamwork, Mathematical Formulation, Market Risk, Derivatives Pricing, Model Performance Monitoring, Outcome Analysis, Benchmarking, Process Verification, Quantitative Analysis, Stakeholder Communication, Compensating Controls

Industry

Investment Banking

Description

Team The primary mandate of Model Validation Team is to manage risk that arises from models used in the firm throughout its range of businesses, including models used for derivatives valuation, market and credit risk management, liquidity, and capital computations. The team is responsible for independently reviewing models for validity, theoretical consistency and implementation accuracy, as well as assessing the risk associated with model choice. Role Jefferies is looking for an Associate Quantitative Analyst to join our Model Validation function. Key Responsibilities Perform independent validation and approval of models, including raising and managing model validation findings Conduct annual review and revalidation of existing models Provide effective challenge to model assumptions, mathematical formulation, and implementation Assess and quantify the model risk arising from model limitations, to inform stakeholders of their risk profile and development of compensating controls Contribute to strategic, cross-functional initiatives within the model risk team Oversee ongoing model performance monitoring, including benchmarking, process verification and outcome analysis performed by model developers Communicate the results of model validation activities, model limitations and uncertainties to the key stakeholders and management Qualifications MSc or preferably PhD in a quantitative field (physics, mathematics, computer science, financial engineering, etc.) Strong communication skills with the ability to find practical solutions to challenging problems Teamwork and collaboration skills a must Strong analytical and programming skills (numerical techniques, coding in Python) Good familiarity with market risk and derivative pricing models Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.

Responsibilities

The Associate Quantitative Analyst will perform independent validation and approval of models, manage validation findings, and conduct annual reviews of existing models. They will also assess model risk and communicate validation results to stakeholders.