At a Glance
- Tasks: Join a dynamic team to develop cutting-edge pricing systems and tackle real-time analytics challenges.
- Company: Fenics Market Data Analytics, a leader in financial technology innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to diverse asset classes and advanced technologies.
- Why this job: Make an impact in finance by developing solutions that drive market data analytics.
- Qualifications: Strong experience in system design, programming, and quantitative analysis.
The predicted salary is between 60000 - 80000 £ per year.
The Fenics Market Data Analytics team are recruiting for an experienced pricing and analytics quant developer to come and work in a real-time data analytics team. A successful candidate will join the team and focus on our cross-product pricing build out. Initially focusing on Interest Rate Swaps, the build out will expand to focus on other asset classes such as Bonds, FX, FXO, IRO, Equities and Commodities and Precious Metals.
Our multidisciplinary team – made up of quantitative analysts, data analysts, data scientists, product specialists, developers and testers – is responsible for the development and production of data for the Fenics Market Data business. This data is widely used both internally and externally and as such we aim for the highest possible standards. Each project is typically developed with a cross‑section of team members from the different disciplines. This multi‑discipline collaboration enables individuals to gain exposure (and contribute) to what other parts of the team and organisation are doing.
Key Responsibilities- Development of pricing systems within an application development framework
- Development and integration of pricing models
- Research & Development of approaches to solve new and existing problems
- Strong experience with system design, resilience, CI/CD best practices
- Track record of data‑driven development and unit‑testing, mocking and back‑testing
- Experience in working within real‑time event driven environments
- Experience using shared frameworks for the delivery of solutions
- Strong background in pricing at least one asset class
- Understanding and previous use of Quantitative Libraries
- Analytics background, or proven equivalent experience leading relevant teams with direct exposure to model design and validation
- Demonstrated use of AI‑assisted development tools to accelerate model development, code review, and test coverage
- Proven background in working with multiple languages and willingness to learn additional languages when required
- Essential Languages: Python, Java or C++
- Background with multiple asset classes is an advantage
- Relational and NoSQL database experience: KDB, Oracle, Sybase, Cassandra and other data technologies
- Previous exposure to: Electronic Trading Systems & Execution Platforms, Execution & Hedging Algorithms, Container frameworks and the tooling that goes with them
- Problem solving: Proven ability to take complex business requirements and translate these into tangible, workable and commercially smart solutions while leveraging best practice tools and techniques
- Analytical: Ability to understand and respond to complex problems, draw and present the right insight and recommendations effectively
- Collaborative approach to working as part of a global team
- Capable at managing your own work load, while providing regular feedback to management
- To be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm.
Quantitative Developer in London employer: Fenics Market Data
At Fenics, we pride ourselves on being an exceptional employer, offering a dynamic work environment where collaboration and innovation thrive. Our multidisciplinary team fosters a culture of continuous learning and professional growth, providing employees with the opportunity to work on cutting-edge projects across various asset classes. Located in a vibrant financial hub, we offer competitive benefits and a commitment to maintaining the highest standards in data analytics, making us an attractive choice for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 related to pricing systems or analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in quantitative development. Practice coding challenges and be ready to discuss your problem-solving approach 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 Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with system design, CI/CD practices, and any relevant asset classes you've worked with. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects that demonstrate your expertise in pricing systems and real-time environments. We love seeing concrete examples of your work, especially if they involve collaboration across different disciplines.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the team and how your background in analytics and quantitative libraries can contribute to our projects. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Fenics Market Data
✨Know Your Tech Stack
Make sure you’re well-versed in the essential languages like Python, Java, or C++. Brush up on your knowledge of quantitative libraries and be ready to discuss how you've used them in past projects. This will show that you can hit the ground running!
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in previous roles. Be ready to explain your thought process and the tools you used to arrive at a solution. This will demonstrate your analytical abilities and how you can contribute to the team.
✨Understand the Business Context
Familiarise yourself with the asset classes mentioned in the job description, especially Interest Rate Swaps. Knowing how these fit into the broader market will help you engage in meaningful discussions during the interview.
✨Emphasise Collaboration
Since the role involves working within a multidisciplinary team, be prepared to talk about your experience collaborating with others. Share specific instances where teamwork led to successful outcomes, highlighting your ability to communicate effectively across different disciplines.
