At a Glance
- Tasks: Develop cutting-edge quantitative models and analytics for trading performance.
- Company: Join a successful systematic investment firm with a collaborative culture.
- Benefits: Exceptional compensation package and strategic project involvement.
- Other info: Work closely with traders and engineers in a highly collaborative setting.
- Why this job: Make a real impact on trading quality and performance in a dynamic environment.
- Qualifications: Master's or PhD in a quantitative field with strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
I'm working with a highly successful systematic investment firm that is looking to hire a Senior Quantitative Analyst to join its Execution & Trading Analytics team.
This is a unique opportunity to sit at the intersection of quantitative research, market microstructure and trading technology, helping optimise how the firm executes trades across global markets.
Working directly with traders, execution engineers and senior leadership, you'll develop the analytics, models and tooling that underpin best execution, ensuring every trade is executed as efficiently and cost-effectively as possible.
The role combines quantitative research with software engineering, offering the opportunity to build sophisticated execution analytics, transaction cost models and simulation frameworks that have a direct impact on trading performance.
Responsibilities
- Design and develop quantitative models for transaction cost analysis (TCA), market impact, slippage and execution quality across multiple asset classes.
- Build simulation and backtesting frameworks to evaluate execution algorithms, smart order routing logic and venue selection.
- Analyse tick, order and execution data to identify opportunities to improve trading performance and reduce execution costs.
- Partner closely with traders, execution engineers and brokers to translate research into production trading systems.
- Produce best execution reporting, investigate anomalies and continuously enhance execution analytics.
- Research market microstructure, execution science and machine learning techniques, assessing their practical application within live trading environments.
- Maintain high standards of model validation, documentation and code quality while helping shape the firm's execution technology roadmap.
Requirements
- Master's or Ph D in Mathematics, Statistics, Computer Science, Physics, Financial Engineering or another quantitative discipline.
- 3+ years' experience in a quantitative role covering FX, commodities, execution analytics, market microstructure, algorithmic trading or transaction cost analysis.
- Strong Python development skills, including experience with Num Py, pandas, scikit-learn and similar scientific computing libraries.
- Excellent understanding of probability, statistics, linear algebra and stochastic modelling.
- Experience working with large financial datasets and developing robust, production-quality research code.
- Strong communication skills with the ability to present quantitative findings to both technical and non-technical stakeholders.
- Experience with machine learning, order book analytics, smart order routing, SQL, kdb+ or cloud technologies would be advantageous.
My client offers an exceptional compensation package alongside the opportunity to work on one of the firm's most strategically important initiatives, directly influencing execution quality and trading performance within a highly collaborative quantitative environment.
- To apply, either respond to this advert or send your CV directly to
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StudySmarter Expert Advice🤫
We think this is how you could land Lead Quantitative Analyst (Execution & Trading Analytics) – Systematic Hedge Fund – Excellent C[...] in London
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We think you need these skills to ace Lead Quantitative Analyst (Execution & Trading Analytics) – Systematic Hedge Fund – Excellent C[...] in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Mondrian Alpha.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Mondrian Alpha's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Mondrian Alpha
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Mondrian Alpha.
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✨Show Your Passion for Finance
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✨Network with Industry Professionals
Before your interview, reach out to current or former Mondrian Alpha employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
