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For Companies At a Glance
- Tasks: Join us as a Quant Developer, creating cutting-edge pricing and risk tools for equity derivatives.
- Company: Be part of a global banking powerhouse, shaping the future of finance with innovative technology.
- Benefits: Enjoy hybrid work flexibility, competitive pay, and opportunities for international collaboration.
- Why this job: Dive into a dynamic role that blends finance and tech, making a real impact in the industry.
- Qualifications: Bring 3-7 years of quant experience, strong C++ and Python skills, and a degree in a relevant field.
- Other info: Occasional travel may be required; collaborate with teams across London, Paris, Hong Kong, and Bangalore.
The predicted salary is between 60000 - 84000 £ per year.
Location: Hybrid – London 2-3 days a week
Length: 6+ Months
Rate: £899 via umbrella
Role Description
Equity Derivatives Quants (a division of Global Banking and Markets) are looking for a C++/Python developer specialising in Structured Equity Derivatives. The candidate will be expected to:
- Assist the design and implementation of pricing, risk and P&L infrastructure surrounding the core pricing library
- Assist the Quantitative Modellers to develop the core pricing library
- Develop the Quantitative tooling required to support the platform
The role will cover the following agendas:
- Delivery of the calculation infrastructure required for FRTB IMA regulatory reporting
- Design and development of end-of-day risk and P&L calculations allowing the retirement of the legacy vendor platform
- Design and development of intraday risk and P&L calculations
- Design and development of market data marking pipelines
The candidate should expect to have day-to-day interactions with the trading desk, other quants, the Risk and Finance departments, and technology teams. While the role is London based, the team and clients are located globally with presence in London, Paris, Hong Kong and Bangalore. Occasional travel may be required.
Essential Certifications, Qualifications and Experience
- 3-7 years working as a Quantitative Analyst developing models in quantitative finance, IT development, or a trading environment
- A degree in mathematical finance, science or maths from a top tier university
- Knowledge of the standard pricing models used in the investment banking industry
- Five or more years C++ experience (preferably using Visual Studio 2017)
- Five or more years Python experience required
- Test-drive development and automated CI/CD pipelines
Desirable Knowledge, Skills & Experience
- Background in stochastic processes, probability and numerical analysis. Physics, Engineering or similar subjects is desirable, but not strictly required.
- Experience of data analysis
- Knowledge of the main instruments used in Equities and Equity Derivatives
- Knowledge of instrument pricing, sensitivity calculations, P&L prediction, P&L explain, VaR, ES and other risk measures.
- Knowledge of distributed computing and serialisation techniques
- Experience in cross-platform C++ development
- Good knowledge of Excel.
- Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time
Equity Derivatives Quant Developer employer: Networker Global Limited
Contact Detail:
Networker Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Derivatives Quant Developer
✨Tip Number 1
Familiarise yourself with the specific pricing models used in the investment banking industry. Understanding these models will not only help you during interviews but also demonstrate your expertise and readiness to contribute from day one.
✨Tip Number 2
Brush up on your C++ and Python skills, especially focusing on test-driven development and CI/CD pipelines. Being able to showcase your coding proficiency in these areas can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the equity derivatives space, particularly those who work in quantitative roles. Engaging with them can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Stay updated on regulatory changes, especially around FRTB IMA reporting. Demonstrating knowledge of current regulations during your discussions can show that you're proactive and well-informed about the industry's landscape.
We think you need these skills to ace Equity Derivatives Quant Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative finance, C++, and Python development. Emphasise any projects or roles that involved structured equity derivatives or risk management.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the requirements of the Equity Derivatives Quant Developer role. Mention your experience with pricing models, regulatory reporting, and any relevant certifications or qualifications.
Showcase Technical Skills: In your application, clearly outline your technical skills, particularly in C++ and Python. Provide examples of how you've used these languages in previous roles, especially in relation to quantitative analysis and model development.
Highlight Team Collaboration: Since the role involves interaction with various teams, include examples of past experiences where you successfully collaborated with quants, traders, or technology teams. This will demonstrate your ability to work in a hybrid environment.
How to prepare for a job interview at Networker Global Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++ and Python in detail. Highlight specific projects where you've implemented pricing models or developed quantitative tools, as this will demonstrate your technical proficiency relevant to the role.
✨Understand the Financial Concepts
Brush up on key financial concepts related to equity derivatives, such as P&L calculations, risk measures, and pricing models. Being able to speak knowledgeably about these topics will show that you understand the industry and can contribute effectively.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges or case studies that involve quantitative analysis or algorithm design, as this will help you demonstrate your analytical thinking and coding skills.
✨Communicate Effectively
Since the role involves interaction with various teams, practice articulating your thoughts clearly and concisely. Be ready to explain complex concepts in a way that non-technical stakeholders can understand, showcasing your ability to collaborate across departments.
