At a Glance
- Tasks: Research and implement systematic trading components to optimise execution quality and risk management.
- Company: Join Citi, a leading global financial services firm with a dynamic culture.
- Benefits: Enjoy 27 days annual leave, private medical care, and a competitive salary.
- Other info: Hybrid working model and a commitment to diversity and inclusion.
- Why this job: Make an impact in finance while working with cutting-edge analytics and technology.
- Qualifications: Master’s or PhD in a quantitative field and advanced programming skills required.
The predicted salary is between 43200 - 72000 £ per year.
The Central Risk team plays a pivotal role in optimising execution quality, internalisation, and risk management across Citi’s global Equities franchise. In this role, you will research, design, implement, and maintain systematic trading components, including:
- The Systematic Internalizer (SI)
- Portfolio optimiser and hedger
- Analytics, estimators, and trading signals
You will work closely with traders, risk managers, and technology partners, leveraging advanced analytics and production‑quality code to influence trading behaviour and improve commercial outcomes.
What You’ll Do
- Research, design, implement, and maintain systematic trading components such as the SI, portfolio optimiser/hedger, analytics modules, estimators, and predictive signals.
- Build robust analytics and reporting tools to identify internalization, pricing, and execution opportunities that drive P&L growth and cost efficiency.
- Partner closely with traders, risk managers, and technology teams to refine models, productionize code, and influence execution strategy in real time.
- Work with control partners (Legal, Compliance, Market/Credit Risk, Audit, and Finance) to ensure a strong governance and control framework.
- Promote a culture of responsible finance, good governance, effective supervision, and sound expense discipline.
- Exercise sound risk judgement in business decisions, safeguarding the firm’s reputation and ensuring compliance with all applicable laws, policies, and supervisory requirements.
- Adhere to Citi’s Code of Conduct and the Plan of Supervision for Global Markets and Securities Services, while maintaining all required registrations and licenses.
What We’ll Need From You
- Master’s or PhD in a quantitative, scientific, or technical discipline — such as Statistics, Mathematics, Engineering, Computer Science, or related fields.
- Deep expertise in statistical methods and inference, including regression, optimization, and time series analysis.
- Advanced programming capability in at least one of: KDB+/q, Java, C++, or Python, with demonstrated experience delivering production‑quality systems.
- Strong experience with data processing and analytics libraries (e.g., NumPy, Pandas) and comfort working with large‑scale datasets.
- Familiarity with software engineering best practices, including testing frameworks, continuous integration, and version control (e.g., Git).
- Experience in a similar front‑office quant role within Central Risk, Execution, or broader Equities is strongly preferred.
- Ability to communicate complex concepts clearly and collaborate effectively with both technical and non‑technical stakeholders.
- Strong analytical mindset, meticulous attention to detail, and the ability to solve complex quantitative problems under pressure.
- Commercial awareness and the diplomacy needed to influence and persuade stakeholders.
Preferred Skills
- Proficiency in KDB+/q
- Knowledge of equity market microstructure, liquidity modelling, or trade execution algorithms
- Understanding of quantitative risk management and portfolio theory
- Experience with execution and central risk platforms and their integration with trading systems
- Familiarity with feature engineering or machine learning techniques applied to financial markets
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:
- 27 days annual leave (plus bank holidays)
- A discretionary annual performance related bonus
- Private Medical Care & Life Insurance
- 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 energised to join us, motivated to stay, and empowered to thrive.
If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise – then apply today.
This job description provides a high‑level overview of the role. Additional responsibilities may be assigned as required.
Cash Equities Quantitative Analyst, Vice President employer: Citibank (Switzerland) AG
Citi London is an exceptional employer that fosters a dynamic and inclusive work environment, offering a hybrid working model and a competitive salary package. Employees benefit from generous annual leave, comprehensive health coverage, and extensive learning opportunities, all while being part of a global franchise that values innovation and collaboration. With a commitment to employee well-being and professional growth, Citi ensures that every team member can thrive and contribute meaningfully to the success of the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Cash Equities Quantitative Analyst, Vice President
✨Tip Number 1
Network like a pro! Reach out to current employees at Citi or in the finance sector on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like the Cash Equities Quantitative Analyst. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your experience with statistical methods and programming languages like Python or C++. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 3
Showcase your projects! If you've worked on relevant projects or have experience with systematic trading components, make sure to highlight these in your discussions. Bring along examples of your work that demonstrate your analytical mindset and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Citi and being part of their innovative team.
We think you need these skills to ace Cash Equities Quantitative Analyst, Vice President
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Cash Equities Quantitative Analyst. Highlight your relevant experience in quantitative analysis, programming skills, and any specific projects that align with the job description.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use examples from your past work to show how you've applied statistical methods, programming languages like Python or C++, and data analytics to solve real-world problems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about this role and how your background makes you a perfect fit for the Central Risk team. Be sure to mention your understanding of market microstructure and risk management.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Citibank (Switzerland) AG
✨Know Your Quantitative Stuff
Make sure you brush up on your statistical methods and programming skills, especially in KDB+/q, Java, C++, or Python. Be ready to discuss how you've applied these skills in real-world scenarios, particularly in trading or risk management.
✨Understand the Role Inside Out
Familiarise yourself with the Central Risk team's objectives and how they optimise execution quality. Be prepared to talk about systematic trading components and how your experience aligns with their needs, especially regarding portfolio optimisation and analytics.
✨Communicate Clearly
Practice explaining complex quantitative concepts in simple terms. You'll need to collaborate with both technical and non-technical stakeholders, so being able to convey your ideas clearly is crucial. Think of examples where you've successfully done this in the past.
✨Show Your Commercial Awareness
Demonstrate your understanding of the equity market microstructure and how it impacts trading strategies. Be ready to discuss how your analytical mindset can contribute to P&L growth and cost efficiency, as well as how you would exercise sound risk judgement in business decisions.