At a Glance
- Tasks: Collaborate with Quant Researchers to tackle real-world challenges in finance using cutting-edge tech.
- Company: Research-led hedge fund at the forefront of systematic trading and machine learning.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a performance-driven team with a culture of experimentation and evidence-based decision-making.
- Why this job: Make a real impact on high-frequency trading and innovative financial solutions.
- Qualifications: Strong programming skills in C# or Python, with a focus on algorithms and distributed systems.
The predicted salary is between 60000 - 80000 £ per year.
We have partnered with a research-led hedge fund where scientific rigour, experimentation, and evidence-based decision-making sit at the heart of the business. Headquartered in London, they operate at the intersection of systematic trading, machine learning, large-scale distributed compute, and performance engineering.
Despite C# and Python being their core stack, the firm is deliberately language-agnostic, prioritising deep systems understanding, strong programming fundamentals and problem-solving over any particular stack.
They are looking for a Quantitative Developer to partner with Quant Researchers and solve some of the most challenging real-world problems in the industry, spanning high-frequency signal research, global market impact, and trading-driven price formation.
Responsibilities include:
- Scaling cutting-edge machine learning workloads across large distributed compute environments.
- Optimising mission-critical, low-latency infrastructure where performance and reliability are paramount.
- Owning the full lifecycle of solutions, from early-stage research and experimentation through to production deployment and ongoing optimisation.
Requirements:
- Experienced with algorithms, data structures, and architecture.
- Deeply proficient with performance, distributed systems, concurrency, and large-scale computing.
If the opportunity to work on mission-critical quantitative systems in a performance-driven environment without direct ownership of investment risk interests you, either follow the link adjacent to apply or send your CV directly to zaakir.
Financial Developer employer: Mondrian Alpha
This research-led hedge fund in London offers an exceptional work environment where scientific rigour and innovation thrive. Employees benefit from a culture that values experimentation and evidence-based decision-making, alongside opportunities for professional growth through collaboration with Quant Researchers on cutting-edge projects. With a focus on performance and reliability, the firm provides a unique chance to work on mission-critical systems while enjoying the advantages of a language-agnostic approach to technology.
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We think this is how you could land Financial Developer
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We think you need these skills to ace Financial Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mondrian Alpha, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mondrian Alpha. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mondrian Alpha
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mondrian Alpha!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
