At a Glance
- Tasks: Build quantitative models that influence trading decisions and optimise capital deployment.
- Company: Join Citi's innovative Capital Analytics team at the forefront of finance and technology.
- Benefits: Enjoy competitive pay, flexible working, and professional development opportunities.
- Other info: Collaborative environment with excellent career growth potential.
- Why this job: Make a real impact on global markets while developing your quantitative and technical skills.
- Qualifications: Master's/PhD in a quantitative field and strong programming skills in Python or C++.
The predicted salary is between 81000 - 99000 £ per year.
Want to build quantitative models that directly influence trading decisions and optimise how capital is deployed across global markets? Citi's Capital Analytics team sits at the intersection of quantitative modelling, technology, and front-office trading. We develop the analytics and systems that help traders understand the capital impact of their activities in real time, enabling smarter pricing, more efficient balance sheet usage, and better risk-adjusted returns. This is a unique opportunity to work on large-scale quantitative challenges, applying advanced mathematics, programming, and financial modelling to problems that have a direct impact on business performance across Citi's global markets franchise.
What You'll Do
- Develop and enhance cross-asset quantitative models used to measure and optimise capital across global trading businesses.
- Build analytical frameworks supporting pricing, balance sheet optimisation, and capital-efficient trade structuring.
- Partner closely with traders, structurers, and quantitative analysts to deliver actionable insights that influence front-office decision-making.
- Design and implement scalable Python and C++ analytics used across trading, risk, and capital management platforms.
- Work on large datasets and complex portfolios to improve modelling accuracy, performance, and efficiency.
- Contribute throughout the full model lifecycle, from research and development through to implementation and production support.
What We're Looking For
- Strong quantitative background (Master's/PhD) in Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, or a related discipline.
- Experience developing quantitative models and analytics within a financial markets environment.
- Strong Python and/or C++ programming skills.
- Solid understanding of probability, statistics, numerical methods, and financial modelling.
- Excellent problem-solving and communication skills, with the ability to explain quantitative concepts to both technical and business stakeholders.
- Interest in working close to trading desks and applying quantitative techniques to real-world business challenges.
What We Offer
- Professional development through structured training, mentorship, and opportunities to build advanced quantitative and technical skills.
- A flexible hybrid working model that combines meaningful in-person collaboration with remote working.
- A collaborative, high-performing environment where you will work closely with experts across quantitative analytics, technology, trading, and risk.
- Competitive compensation and benefits, with opportunities to build a long-term career across Citi's global platform.
Markets Quantitative Analyst - Capital Analytics, AVP employer: Citi
Citi is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Equities Technology team. Employees benefit from cutting-edge technology, opportunities for professional growth, and a culture that values diversity and inclusion. With a focus on high-performance analytics and real-time data solutions, Citi empowers its engineers to make impactful contributions while enjoying a supportive atmosphere in a globally recognized financial institution.
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We think this is how you could land Markets Quantitative Analyst - Capital Analytics, AVP
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We think you need these skills to ace Markets Quantitative Analyst - Capital Analytics, AVP
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Citi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Citi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
