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For Companies At a Glance
- Tasks: Analyse data and improve client profitability through innovative modelling and analytics.
- Company: Join a Fortune-100 financial services provider with a global reach.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in global finance while working with industry experts.
- Qualifications: Experience in finance or analytics, proficient in SQL and Python.
- Other info: Dynamic team environment with exposure to various asset classes.
The predicted salary is between 30000 - 50000 £ per year.
Connecting clients to markets – and talent to opportunity. With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.
At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.
Institutional: Immerse yourself in the best-in-class institutional-grade technology, working alongside industry experts and gaining exposure to various asset classes, such as equities, options, fixed income securities, and advanced trading, research, and management technology.
Responsibilities
Position Purpose: The team is responsible for the hedging strategy and execution of the retail business. We use a quantitative data driven approach to the understanding, execution and performance assessment of this area. You will provide an expertise in analytics, modelling and coding to support the team and improve the profitability of the business.
- Improve production, scale and logic of client P&L attribution models
- Support and improve the client classification modelling to improve the profitability of the business
- Develop and maintain data pipelines for the client classification model and other datasets including trading cost analytics data
- Provide analytics and models that help us understand and improve the hedging performance and business profitability
- Provide analysis on client trading behaviour and trends
- Develop key metrics to understand business from trading and hedging perspective
- Communicate key analytics to senior leaders of the firm
Qualifications
To land this role you will need:
- Prior experience in financial or analytical setting
- SQL Experience (understanding data structure, query optimization, use of stored procs/functions etc)
- Proficient with Python (pandas, numpy, etc)
- Strong analytical skillset, linked to a commercial understanding
- Knowledge of financial markets (futures, derivatives, options etc)
- Experience communicating data analytics to audiences of different technical levels
Education:
Bachelors degree in a quantitative discipline (Physics, Computer Science etc)
Working environment:
Hybrid (4 days in office per week)
Junior Quantitative Analyst in City of London employer: UNAVAILABLE
Contact Detail:
UNAVAILABLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance industry on LinkedIn or at networking events. Don’t be shy – ask them about their experiences and any tips they might have for landing a role like Junior Quantitative Analyst.
✨Tip Number 2
Brush up on your SQL and Python skills! Make sure you can confidently discuss your experience with data structures and analytics. Maybe even work on a small project to showcase your coding chops when you get the chance to chat with potential employers.
✨Tip Number 3
Prepare for interviews by practising common quantitative analysis questions. Think about how you can demonstrate your analytical skills and understanding of financial markets. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StoneX. Don’t forget to follow up after applying – a little persistence goes a long way!
We think you need these skills to ace Junior Quantitative Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Quantitative Analyst role. Highlight your experience with SQL and Python, and don’t forget to showcase any relevant analytical skills or projects that demonstrate your understanding of financial markets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a great fit. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Analytical Skills: In your application, provide examples of how you've used your analytical skills in previous roles. Whether it's through data modelling or client behaviour analysis, make it clear how your expertise can contribute to improving profitability at StoneX.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes straight to the right people. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at UNAVAILABLE
✨Know Your Numbers
As a Junior Quantitative Analyst, you'll be dealing with data all the time. Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework, and think of specific examples where your analytical skills made a difference.
✨Understand the Market
Make sure you have a solid grasp of financial markets, especially futures, derivatives, and options. Research recent trends and news in the industry. This will not only help you answer questions but also show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect technical questions that test your analytical thinking and problem-solving abilities. Practice coding problems in Python and SQL, and be prepared to explain your thought process clearly. It’s not just about getting the right answer; it’s about demonstrating your approach.
✨Communicate Effectively
You'll need to communicate complex data insights to various audiences. Prepare to showcase your ability to simplify technical concepts. Think of examples where you've successfully communicated analytics to non-technical stakeholders, as this will highlight your versatility and communication skills.