Market Risk Data Scientist / Python Developer - VP

Citi
London
3 weeks ago
Create job alert

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data analysis, creation and development of advanced tools in Python for risks monitoring, stress testing and trading portfolios analysis to Citi’sGlobal Rates business.

By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Role / Team Overview:

The role is for a Market Risk Data Scientist / Python Developer based in London, to join the G10 Market Risk team in EMEA, as part of the Global Rates business.

The G10 EMEA Rates Trading business provides interest rate market-making and solutions to the bank's clients by covering a wide range set of products, including: Bonds, Swaps, Vanilla Options as well as Exotics and Structured Products.

The Market Risk Department is in charge of the second line of defence within the firm. The main goal is to oversee / monitor risks at both portfolio and individual trade level and to challenge the business to ensure that the risk management activities are effective and aligned with the organization’s risk appetite.

What you’ll do:

The candidate will be primarily in charge of maintaining, improving and further widening the scope of the existing Python-based infrastructure for risks, including (but not limited to): daily risks monitoring, P&L attribution analysis, ad-hoc stress testing, Historical VAR estimation on selected portfolios.

Despite the role is part of the EMEA team, the project coverage extends to the whole Global Rates within Market Risk.

As a secondary mandate, the candidate will work alongside the team in EMEA on the whole set of daily tasks and deliverables, both internally as well as regulatory driven, when needed. That includes: daily limits monitoring, controls and analysis of risks, attestation of risks measures for regulatory purposes, P&L attribution analysis etc.

What we’ll need from you:

Advanced level of Python proficiency to translate business requirements into best in class solutions for risk monitoring, P&L explanation, market and risks data analysis, stress testing etc., and a strong appetite to widen both markets and products knowledge and expertise. Knowledge of databases and SQL language. Hands-on attitude where attention to detail and smart project planning is important to produce an insightful, high-quality output within a given time-frame. Team‐work mindset to interact and collaborate on daily basis with senior Market Risk colleagues within the Department on short term deliverables, while being able to work with a good degree of independence on the Market Risk Python-based platform. Basic knowledge of interest rate products (Bonds, Swaps, non-linear derivatives). Previous exposure to Market Risk concepts and techniques (, Scenario Stress Testing, VaR, FRTB etc.) is beneficial but not necessary. Communicate/ interact with other teams both within Market Risk as well as outside ( Trading, First Line of Defence, IT Dept, Quantitative Research, Risk Control). Excellent written and verbal communication skills. Quantitative skills including applied mathematics and statistics would be a plus.

What we can offer you:

Given the global nature of the project within the Rates Market Risk department, the candidate will enjoy an excellent degree of visibility and will have a unique opportunity to leverage on the existing infrastructure while having the responsibility and the challenge to bring the infrastructure to the next level. In addition, this role will give the right candidate the opportunity to build an in-depth knowledge of the Global Rates operations and financial products, or to further widen it, while interacting with many people and teams in the organization.

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 discretional 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. 

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

#LI-TM3

------------------------------------------------------

Job Family Group:

Risk Management

------------------------------------------------------

Job Family:

Market Risk

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Related Jobs

View all jobs

Principal Data Scientist

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.