Hiring Now: Machine Learning Quant Engineer - Investment banking/ XVA Near You – Apply Today!
Your Next Machine Learning Quant Engineer - Investment banking/ XVA Job Starts Here – Apply Now!
Machine Learning Quant Engineer - Investment banking/ XVA
Job Posted: 4 hours ago
Salary: £ 1,000 - 1,000 / Day
Job Type: Contract
Location: London
Expire in: a month
Job Description
Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London.
**Inside IR35, 4 days a week on site**
The role:
To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists at the forefront of financial innovation.
Your Role
Design, build, and deploy state-of-the-art ML models for alpha generation, portfolio construction, pricing, and risk management
Lead ML research initiatives and contribute to long-term modeling strategy across asset classes
Architect robust data pipelines and scalable model infrastructure for production deployment
Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes
Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets
Collaborate closely with cross-functional teams, including traders, data engineers, and software developersWhat We're Looking For
Required:
7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm
Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline
Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL
Expert-level programming skills in Python and strong understanding of software engineering best practices
Experience deploying ML models to production in real-time or high-frequency environments
Deep understanding of financial markets and quantitative modelingPreferred:
Experience in front-office roles or collaboration with trading desks
Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives)
Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines
Exposure to LLMs, graph learning, or other advanced AI methods
Strong publication record or open-source contributions in ML or quantitative finance
Please apply within for further details or call on (phone number removed)
Alex Reeder
Harvey Nash Finance & Banking
To
From
Record Yes No
Always use these settingsBefore You Apply
Do not include the following in your job application, CV, or cover letter:
- Bank details.
- National Insurance number.
- Date of birth.
You should not be asked for payment or irrelevant information. If you have concerns about a job advert or employer, seek guidance on how to proceed.
Looking for your next career move? Join a top company hiring Machine Learning Quant Engineer - Investment banking/ XVA job near me in London! This is your chance to work on exciting projects, grow professionally, and enjoy a rewarding career with competitive pay and excellent benefits. Whether you're an experienced professional or looking to take the next step, this role offers the perfect opportunity to enhance your skills and make an impact. Don’t miss out—apply today via Vita CV and take your career to the next level!
© Vita CV: Registered in England and Wales (16187919).