At a Glance
- Tasks: Develop and scale cutting-edge algorithmic trading platforms using AI and advanced technologies.
- Company: Join a leading financial firm with a focus on innovation and collaboration.
- Benefits: Flexible hybrid work, professional development, and comprehensive wellness benefits.
- Other info: Opportunities for career growth and international exploration in an inclusive culture.
- Why this job: Shape the future of trading while making a global impact in a dynamic environment.
- Qualifications: Strong background in quantitative analysis, Java, Python, and algorithmic trading systems.
The predicted salary is between 100000 - 120000 £ per year.
We are seeking a strategic Senior Quantitative Analyst to develop and scale our cash equity algorithmic trading electronic execution platform. In this role, you will leverage cutting-edge AI technologies and mathematical methods to research EMEA equity market microstructure and drive platform innovation. If you thrive on complex quantitative deliverables and want to shape our directional trading strategy, this role offers significant growth and impact.
Responsibilities
- Build and scale our cash equity electronic execution platform using Java, Rust, and advanced AI technologies to power the next generation of algorithmic trading systems.
- Conduct EMEA equity market microstructure research, applying advanced statistics, probability, and mathematical finance to extract actionable trading insights.
- Backtest and prototype quantitative research strategies, leveraging Python and kdb+ to validate and optimize algorithmic trading models.
- Monitor and analyze client trading performance, delivering quantitative insights that optimize execution quality and client outcomes.
- Partner with Sales Trading, Execution Advisory Services, and technology teams to align our platform capabilities with evolving business needs.
- Collaborate with control functions—including Risk, Compliance, Legal, and Finance—to ensure robust governance and maintain a strong control infrastructure.
- Maintain a focus on risk management and ethical practices, ensuring trading decisions protect our clients, reputation, and assets.
- Complete and maintain all required professional registrations and licenses within the designated timeframes to support regulatory compliance.
Required qualifications and skills
- Extensive background in quantitative modeling or analytics, ideally within the financial sector, focusing on algorithmic trading systems.
- Deep proficiency in Java and Python, with a strong foundation in software design and development principles.
- Proven experience applying probability theory, statistics, and mathematical finance to solve complex analytical equations and analyze market data.
- Demonstrated experience utilizing AI technologies to design and build high-performance trading applications.
- Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts to technical and non-technical partners.
Beneficial skills and qualifications
- Hands-on experience with Rust and kdb+/Q for real-time data analysis and high-frequency trading.
- Familiarity with EMEA equity market microstructure and cash equity execution dynamics.
- Direct experience collaborating with risk management, compliance, or legal teams in a regulated global environment.
What we offer
- You will grow your career locally or explore international opportunities, supported by our investment in your professional development through training and mentorship programs.
- You can expect a flexible work environment with our hybrid model, which blends in-office collaboration with remote flexibility to support your work-life balance.
- You'll thrive in an innovative, inclusive culture where diverse perspectives are celebrated, and you will collaborate closely with world-class sales trading, execution advisory, and technology professionals.
- You can leverage comprehensive wellness benefits, including medical coverage, mental health resources, parental and family support, and competitive retirement planning.
If you are ready to drive innovation in algorithmic trading and make a global impact, apply today to join our team at Citi.
Quantitative Analyst -Cash Equity Algorithmic Trading - Director in London employer: Citibank (Switzerland) AG
Citi is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. As the Global Head of Client Experience, you will lead a talented team dedicated to enhancing client satisfaction through cutting-edge AI analytics and a client-centric culture. With ample opportunities for professional growth and a commitment to employee development, Citi stands out as a leader in the financial services sector, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst -Cash Equity Algorithmic Trading - Director in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Citibank (Switzerland) AG!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Analyst -Cash Equity Algorithmic Trading - Director at Citibank (Switzerland) AG.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Citibank (Switzerland) AG.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Analyst -Cash Equity Algorithmic Trading - Director at Citibank (Switzerland) AG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Analyst -Cash Equity Algorithmic Trading - Director in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Citibank (Switzerland) AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Citibank (Switzerland) AG. 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 Citibank (Switzerland) AG
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Citibank (Switzerland) AG!
✨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.
