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For Companies At a Glance
- Tasks: Join a dynamic team to develop pricing and risk models using C++ and Python.
- Company: A leading FinTech firm spun out from a top hedge fund, revolutionising investment management.
- Benefits: Enjoy market-leading pay, bonuses, healthcare, 26 days holiday, and remote work options.
- Why this job: Be part of an innovative team in a high-talent environment with real impact on finance.
- Qualifications: Master's or PhD in a STEM field; programming skills in C++, Python, or C# required.
- Other info: Collaborate with experts from top financial institutions and enhance your career in FinTech.
The predicted salary is between 28800 - 48000 £ per year.
The Client
My client is a market leading FinTech business that spun-out of one of the largest and most successful hedge funds in the world. Their offering is a suite of technology and investment management infrastructure services that they provide to the world's leading hedge funds and asset managers.
They are looking for a Graduate Quantitative Analyst to join their Quantitative Analysis & Development team based in London.
What You'll Get
- An opportunity to play a key role in one of the most exciting hedge fund focused FinTech businesses in the world.
- An opportunity to work in a high talent density organisation, alongside an exceptional team who have joined the business from top tier hedge funds and other major financial markets institutions.
- Market leading compensation, including an annual discretionary bonus, regular salary reviews and ongoing opportunities for financial advancement.
- Benefits including pension, healthcare, life insurance, 26 days holiday and 10 further days working from wherever you want in the world amongst others.
What You'll Do
- Joining the Quantitative Analytics & Development team, you will play a role in the development and enhancement of their in-house pricing and risk models. The models are implemented in the Quant Library, which is written in C++.
- Play a role in the building of new C++ & Python based tools and services in line with the needs of the business.
- Play a role in the monitoring and support of the Quant production system.
- Work collaboratively with a cross-functional team of developers, engineers, product managers and leadership to evolve and execute the product roadmap in a time efficient manner.
What You'll Need
- A Master's degree or a PhD in a Mathematical or STEM discipline.
- Programming experience with C++, Python and/or C#.
- Excellent analytical and problem solving skills.
- Excellent verbal and written communication skills.
- A passion for a career in a FinTech environment, and genuine interest in the financial markets.
Graduate Quantitative Analyst, Hedge Fund FinTech employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Quantitative Analyst, Hedge Fund FinTech
✨Tip Number 1
Familiarise yourself with the latest trends in FinTech and hedge funds. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your C++ and Python skills by working on personal projects or contributing to open-source initiatives. This hands-on experience will make you stand out as a candidate who can hit the ground running.
✨Tip Number 3
Network with professionals in the FinTech and hedge fund sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn more about the company culture.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to quantitative analysis. Use platforms like LeetCode or HackerRank to sharpen your analytical skills and coding abilities.
We think you need these skills to ace Graduate Quantitative Analyst, Hedge Fund FinTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Master's or PhD in a Mathematical or STEM discipline. Emphasise any programming experience with C++, Python, or C#, and showcase relevant projects or coursework that demonstrate your analytical and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for FinTech and the financial markets. Mention specific reasons why you want to work for this particular company and how your skills align with their needs, especially in relation to developing pricing and risk models.
Showcase Relevant Experience: If you have any internships, projects, or experiences related to quantitative analysis or software development, make sure to include them. Detail your contributions and the technologies you used, particularly focusing on C++ and Python.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for grammatical errors, clarity, and ensure that your enthusiasm for the role shines through. A polished application reflects your attention to detail, which is crucial in this field.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in C++ and Python. You might be asked to solve coding problems or explain your previous projects, so brush up on your technical knowledge and be ready to demonstrate your skills.
✨Understand the Financial Markets
Since this role is in a FinTech environment, having a solid understanding of financial markets is crucial. Research current trends, key players, and recent developments in the hedge fund industry to show your genuine interest.
✨Prepare for Problem-Solving Questions
Expect to face analytical and problem-solving questions during the interview. Practice common quantitative analysis scenarios and think through your approach to solving complex problems, as this will highlight your critical thinking abilities.
✨Communicate Clearly and Confidently
Excellent verbal and written communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when discussing technical concepts, to ensure you can effectively collaborate with cross-functional teams.
