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- Tasks: Support and innovate in Equity Derivatives, building tools and collaborating globally.
- Company: Dynamic financial firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and a vibrant work culture.
- Other info: Exciting opportunities for growth and learning in quantitative finance.
- Why this job: Join a fast-paced environment and make an impact in the finance world.
- Qualifications: Masterâs degree in relevant fields and strong Python skills required.
The predicted salary is between 50000 - 70000 ÂŁ 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 crossâborder 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.
- Masterâs 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 objectâoriented programming, design patterns, and modern Python tooling.
- Experience building Pythonâbased dashboards (for example Dash, Plotly, Streamlit, Panel, Bokeh).
- Handsâon 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 fastâpaced environment and solve problems arising from trading, risk, and operations.
- Selfâmotivated, detail oriented, and proactive.
- Fluent in spoken and written English.
Junior Quant, Equity Derivatives employer: CLSA Global Markets Pte Ltd
Contact Detail:
CLSA Global Markets Pte Ltd Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Junior Quant, Equity Derivatives
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in equity derivatives. Building relationships can open doors that a CV just can't.
â¨Show Off Your Skills
Donât just talk about your experience; demonstrate it! Create a portfolio showcasing your Python projects, especially those related to data analysis or trading tools. This will give you an edge and show potential employers what you can really do.
â¨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of quantitative finance. Practice common interview questions and be ready to solve problems on the spot. Confidence is key!
â¨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Junior Quant role. We love seeing candidates who are proactive and engaged with our company!
We think you need these skills to ace Junior Quant, Equity Derivatives
Some tips for your application đŤĄ
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 team!
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 makes you a great fit for the role. Let us know what excites you about working with StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially if they involve building tools or working with large datasets.
Apply Through Our Website: Don't forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen on joining the StudySmarter family!
How to prepare for a job interview at CLSA Global Markets Pte Ltd
â¨Know Your Quant Basics
Brush up on your quantitative finance knowledge, especially around equity derivatives. Be ready to discuss concepts like volatility fitting and risk analysis, as these will likely come up during the interview.
â¨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. Have examples ready of projects where you've built dashboards or worked with ETL pipelines. Being able to talk through your code and thought process can really impress the interviewers.
â¨Understand the Role's Technical Requirements
Familiarise yourself with the tools mentioned in the job description, like Airflow and data storage systems. If you have experience with them, be prepared to discuss how you've used these tools in past projects.
â¨Collaborative Mindset
Since the role involves working with global teams, highlight any experiences where you've collaborated across different departments or locations. Show that you're a team player who can thrive in a fast-paced environment.