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- Tasks: Design and optimise pricing models and execution strategies for financial products.
- Company: Join TechBiz Global, a leader in innovative recruitment services for top clients.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of financial engineering, driving impactful solutions in a global trading landscape.
- Qualifications: 5+ years in quantitative roles; expertise in Spot FX, Derivatives, and proficiency in Python required.
- Other info: Master's or Ph.D. preferred; EU work permit necessary.
The predicted salary is between 43200 - 72000 £ per year.
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Quantitative Financial Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
Role Overview: We are seeking a highly skilled Quantitative Financial Engineer with deep expertise in Spot FX, Derivatives, Structured Products, and Futures to design, build, and optimize pricing models, execution strategies, and market integration tools. As the lead quantitative expert, you will drive innovation in pricing and risk management frameworks, develop new financial instruments, and work closely with cross-functional teams including trading, liquidity, and development. This is a hands-on role requiring strong mathematical acumen, financial engineering experience, and ideally, proficiency in Python. You’ll contribute directly to product strategy, system architecture, and execution efficiency—delivering robust, scalable, and cutting-edge solutions for a global trading environment.
Key Responsibilities:
- Lead the development of pricing models and execution algorithms for Spot FX, CFDs, Futures, and Structured Products.
- Design and optimize proprietary pricing engines, risk models, and algorithmic trading systems.
- Integrate market data sources, liquidity providers, and prime brokers to ensure real-time pricing and execution.
- Work closely with trading desks and liquidity teams to refine product offerings and enhance competitiveness.
- Troubleshoot live pricing and execution issues in collaboration with trading operations.
- Build backtesting frameworks and tools to evaluate pricing strategies and improve performance.
- Monitor and analyze market microstructure, execution quality, and trading efficiency using quant-driven tools.
- Collaborate with developers to improve infrastructure, automation, and API connectivity.
- Ensure the seamless orchestration of all quant and trading systems.
Minimum Qualifications:
- Minimum of 5 years’ experience in quantitative roles within banks, hedge funds, brokers, or proprietary trading firms.
- Strong expertise in Spot FX, Derivatives (Options, Futures, Swaps), Structured Products, and CFDs.
- Advanced knowledge of pricing theory, yield curve modeling, volatility surfaces, and stochastic models.
- Proven track record in building and maintaining market-making models and algorithmic execution strategies.
- Experience working with API-driven trading systems, order book dynamics, and market microstructure.
- Proficiency in Python or other programming languages used in financial modeling and analytics.
- Solid background in quantitative modeling, risk analytics, and execution logic optimization.
- Familiarity with integrating real-time market feeds and developing quant-based hedging/risk control frameworks.
- Excellent communication and cross-team collaboration skills.
Preferred Qualifications:
- Master's or Ph.D. in Quantitative Finance, Financial Engineering, Mathematics, Computer Science, or related fields.
- Experience working with global markets and multi-asset execution platforms.
- Familiarity with FIX protocols and API-based trading infrastructure.
- Understanding of regulatory requirements and compliance standards in trading.
Quantitative Financial Engineer employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Financial Engineer
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and employers. Engaging with others in the field can provide insights into job openings and company cultures.
✨Tip Number 2
Showcase your technical skills by working on relevant projects or contributing to open-source initiatives. Having a portfolio that demonstrates your proficiency in Python and financial modelling can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest trends and technologies in quantitative finance. Follow industry news, read research papers, and engage with online communities to ensure you are knowledgeable about current practices and innovations.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Familiarise yourself with common algorithms and pricing models to demonstrate your expertise during the interview process.
We think you need these skills to ace Quantitative Financial Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative roles, particularly in Spot FX, Derivatives, and Structured Products. Use specific examples to demonstrate your expertise in pricing models and algorithmic trading.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative finance and your understanding of the role. Mention your proficiency in Python and any relevant projects or achievements that align with the job description.
Highlight Relevant Skills: In your application, emphasise your skills in quantitative modelling, risk analytics, and execution logic optimisation. Be sure to mention your experience with API-driven trading systems and market microstructure.
Showcase Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations. Highlight your communication skills and how you've contributed to team success in previous positions.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
As a Quantitative Financial Engineer, your technical expertise is crucial. Be prepared to discuss your experience with Spot FX, Derivatives, and Structured Products in detail. Highlight specific projects where you designed pricing models or execution strategies, and be ready to demonstrate your proficiency in Python.
✨Understand the Market Landscape
Familiarise yourself with current trends in the financial markets, especially regarding algorithmic trading and risk management. Being able to discuss recent developments or challenges in these areas will show your passion and understanding of the industry.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice explaining your thought process clearly and logically when tackling complex quantitative problems. This will demonstrate your analytical skills and ability to think on your feet.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, highlight your communication and collaboration skills. Share examples of how you've successfully worked with trading desks or developers in the past to achieve common goals.
