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- Tasks: Support and innovate our Equity Derivative library while developing advanced trading tools.
- Company: Dynamic finance firm with a focus on cutting-edge quantitative solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Join a global team and make an impact in the fast-paced world of equity derivatives.
- Qualifications: Master’s degree in relevant fields and strong Python skills required.
The predicted salary is between 50000 - 70000 £ per year.
The Equity Derivatives Junior Quant plays a key role in supporting the designing and innovating our Equity Derivative library, building resilient risk/pricing infrastructure in collaboration with IT and developing advanced tools for volatility fitting and dividend marking. The position supports daily trading applications, develops trading tools and collaborates with global teams.
Key Areas of Responsibilities
- Support Equity Derivatives D1 business for overseas offices.
- Build market and reference data pipelines, including ETL and storage solutions.
- Develop pricing tools and maintain daily risk and P&L analysis.
- Build trading tools and provide technical support to Equity Derivative sales teams overseas.
- Collaborate with global quantitative teams on the quant library and cross‑border quant projects.
- Design and innovate the Equity Derivative library and related components.
- Work with IT to build a resilient risk and pricing infrastructure.
- Support daily trading applications and resolve production issues arising from trading, risk, or operations.
Requirements
- Master’s degree or above in Computer Science, Mathematics, Engineering, or a related discipline.
- Proven experience with large datasets, storage systems, ETL pipelines, and data analysis workflows.
- Strong Python (3.12+) skills with solid grounding in object‑oriented programming, design patterns, and modern Python tooling.
- Experience building Python‑based dashboards (for example Dash, Plotly, Streamlit, Panel, Bokeh).
- Hands‑on experience with Airflow or equivalent workflow orchestration tools.
- Strong understanding of software engineering fundamentals, including testing, version control, and documentation best practices.
- Familiarity with quantitative finance, trading systems, or research workflows.
- Experience with time series databases or working with financial data vendors.
- Ability to work in a fast‑paced environment and solve problems arising from trading, risk, and operations.
- Self‑motivated, detail oriented, and proactive.
Junior Quant, Equity Derivatives employer: CLSA
Contact Detail:
CLSA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quant, Equity Derivatives
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data analysis. This is your chance to demonstrate your expertise in building tools and working with large datasets.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with ETL pipelines and risk analysis in detail.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Quant, Equity Derivatives
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Quant role. Highlight your experience with Python, data analysis, and any relevant projects that showcase your skills in quantitative finance. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about equity derivatives and how your background aligns with our needs. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving large datasets or trading tools, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at CLSA
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially the latest features in version 3.12+. Be ready to discuss your experience with building dashboards and working with ETL pipelines. They’ll likely want to see how you can apply your technical knowledge to real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in fast-paced environments. Think about specific instances where you resolved issues related to trading or risk. This will demonstrate your ability to think on your feet and adapt to changing situations.
✨Collaborate Like a Pro
Since this role involves working with global teams, be ready to talk about your collaborative experiences. Highlight any projects where you worked cross-functionally, especially those that involved quantitative finance or software engineering. Communication is key!
✨Understand the Business Context
Familiarise yourself with the Equity Derivatives market and the specific challenges it faces. Being able to discuss current trends or recent developments in the industry will show that you're not just technically savvy but also understand the bigger picture.