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- Tasks: Design and optimise pricing models and execution strategies for financial products.
- Company: Join TechBiz Global, a leader in recruitment services for top-tier clients.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of financial engineering, driving innovation in a global trading landscape.
- Qualifications: 5+ years in quantitative roles; expertise in Spot FX, Derivatives, and Python required.
- Other info: Ideal for those passionate about finance and technology, looking to make an impact.
The predicted salary is between 48000 - 84000 £ 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: TECHBIZ GLOBAL OÜ
Contact Detail:
TECHBIZ GLOBAL OÜ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Financial Engineer
✨Tip Number 1
Make sure to showcase your expertise in Spot FX, Derivatives, and Structured Products during networking events or industry meetups. Engaging with professionals in these areas can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Join online forums or communities focused on quantitative finance and algorithmic trading. Participating in discussions can help you stay updated on industry trends and may connect you with hiring managers looking for candidates like you.
✨Tip Number 3
Consider attending workshops or webinars that focus on Python programming for financial modelling. This will not only enhance your skills but also demonstrate your commitment to continuous learning in the field.
✨Tip Number 4
Reach out to current employees at TechBiz Global or their clients through LinkedIn. A friendly message expressing your interest in the Quantitative Financial Engineer role can help you get insider information and possibly a referral.
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 of your work with pricing models and execution strategies to demonstrate your expertise.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative finance and innovation. Mention how your skills in Python and financial engineering align with the role's requirements, and provide insights into your approach to problem-solving in trading environments.
Showcase Relevant Projects: If you have worked on projects involving algorithmic trading systems or market-making models, be sure to include these in your application. Detail your contributions and the impact they had on performance or efficiency.
Highlight Communication Skills: Since the role involves collaboration with cross-functional teams, emphasise your communication skills. Provide examples of how you've successfully worked with traders, developers, or other stakeholders to achieve common goals.
How to prepare for a job interview at TECHBIZ GLOBAL OÜ
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any other programming languages relevant to financial modelling. You might be asked to solve a technical problem or explain your approach to building pricing models, so brush up on your coding skills and be ready to demonstrate your knowledge.
✨Understand the Market Landscape
Familiarise yourself with current trends in Spot FX, Derivatives, and Structured Products. Being able to discuss recent market developments or innovations in trading strategies will show that you are engaged and knowledgeable about the industry.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time trading scenarios. Think of examples from your past experience where you successfully troubleshot pricing or execution issues, and be ready to explain your thought process and the outcomes.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, highlight your experience in collaborating with trading desks, liquidity teams, and developers. Share specific examples of how you’ve contributed to team projects and improved processes through effective communication.
