Quantitative Analyst, VP

Citigroup Inc.; City Of London; Hybrid; GBP 75,000 - 100,000; Full time

Job summary

A global financial services firm in London seeks a Counterparty Credit Risk Quant Developer to lead the development of C++ and Python model libraries. Candidates should have a strong background in financial derivatives, regulatory projects, and programming. This role includes engaging in significant advancements in quantitative analysis, providing expert support, and optimizing risk management processes. The position offers a competitive salary and a comprehensive benefits package, including a hybrid working model.

Benefits

Generous holiday allowance starting at 27 days

Discretionary annual performance-related bonus

Private medical insurance

Employee Assistance Program

Pension Plan

Paid Parental Leave

Special discounts for employees

Qualifications

• Experience in developing analytics libraries for financial derivatives.
• Familiarity with equity derivatives and stochastic volatility models.
• Strong mathematical finance background and excellent programming skills.

Responsibilities

• Lead development of C++ and Python model libraries.
• Integrate analytic libraries into production systems.
• Engage in projects related to Counterparty Credit Risk.

Skills

C++

Python

Statistical analysis

Regulatory projects

Team collaboration

Machine Learning

Education

Mathematical finance

Advanced statistical analysis

Tools

UNIX Shell

Relational Databases

Machine Learning Frameworks

Job description

Overview

Team/Role Overview The Counterparty Credit Risk Quant Development Team, a key group within Markets Quantitative Analysis Organization, is responsible for developing cutting-edge analytical models for derivatives risk and exposure calculations Firm-wide. The scope of this role extends from the research into the mathematical derivation of advanced quantitative models, through meticulous coding, rigorous testing, comprehensive documentation for formal validation and approval, and delivering these models for seamless incorporation into the Firm's internal and regulatory risk management processes.

Responsibilities

• Leading the development and maintenance of in-house C++ and Python model libraries.
• Pioneering advancements in the quantitative toolbox through the development of new technologies, algorithms, and numerical techniques.
• Driving significant efficiency improvements and optimization within the analytical libraries.
• Collaborating extensively with IT teams to integrate complex analytic libraries into production systems.
• Overseeing the development and maintenance of critical quant infrastructure, databases, and productivity tools.
• Providing expert support for the build, rigorous testing, and release management of the model libraries.
• Engaging actively in Regulatory and Governance-based projects, particularly those related to Counterparty Credit Risk (CCR) such as Basel IMM, PFE, CVA, and RWA calculations, across a range of asset classes.
• Performing in-depth data analysis and producing comprehensive regular reports.

Qualifications

• Demonstrable expertise and a proven track record in developing and supporting analytics libraries for the pricing, risk, and exposure calculation of complex financial derivatives.
• Strong preference for candidates with extensive experience in Equity derivatives pricing, including familiarity with advanced concepts such as stochastic volatility models, variance swaps, correlation products, and exotic structures.
• Deep familiarity with Counterparty Credit Risk (CCR) calculations, including Basel IMM, Potential Future Exposure (PFE), EPE, EAD, and CVA methodologies.
• Previous experience working on other Regulatory based projects such as Model Risk, Basel III, Stress Testing, FRTB, and CCAR is highly advantageous.
• Solid mathematical finance and advanced statistical analysis skills.
• Profound knowledge of probability theory and stochastic calculus.
• Extensive familiarity with Numerical Analysis and Monte-Carlo methods.
• Proven experience developing robust software for Windows and Linux environments.
• Excellent command of scripting using UNIX Shell (ksh, bash, etc.), Python, and VBA.
• Knowledge of Relational Databases (e.g., Mongo) is a plus.
• Knowledge/experience with Machine Learning Tools and Frameworks (e.g., scikit-learn, PyTorch) is a plus.
• Exceptional command of programming using modern C++ and Python.
• Outstanding analytical and complex problem-solving skills.
• A thorough and detailed approach, with an unwavering commitment to accuracy, is essential.
• Ability to strictly follow procedures and operate within stringent guidelines.
• Excellent verbal and written English communication skills.
• Strong ability to take ownership and proactively follow up on issues through to resolution.
• Demonstrated ability to work effectively in a team-oriented environment and to perform well under pressure.

What we can offer

We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
• A discretionary annual performance related bonus
• Private medical insurance packages to suit your personal circumstances
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.

Interested?

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

Job Family Group: Institutional Trading

Job Family: Quantitative Analysis

Time Type: Full time

Most Relevant Skills: Please see the requirements listed above.

Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.

Equality and accessibility: Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.