Macro Quant Research Software Engineer - Analytics in London

Macro Quant Research Software Engineer - Analytics in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Mondrian Alpha

At a Glance

  • Tasks: Build low-latency macro-economic tools and integrate automated workflows in Python.
  • Company: Join Mondrian Alpha's innovative Quantitative Technology team in London.
  • Benefits: Autonomous work, collaboration with top investors, and a world-class environment.
  • Other info: Exciting opportunity for career growth in a dynamic team.
  • Why this job: Make an impact in finance while working with cutting-edge technology.
  • Qualifications: 3+ years in C#/.NET (or Java/Python/C++) and a strong CS degree.

The predicted salary is between 50000 - 70000 £ per year.

Mondrian Alpha is seeking a Research Software Engineer to join their Quantitative Technology team in London. The candidate will be trusted to work autonomously from day one, integrating automated LLM workflows and building low-latency macro-economic modeling tools in Python.

The ideal individual should have at least 3 years of experience with C#/.NET (or Java/Python/C++), and a strong CS degree from a Russell Group university. This role offers a significant opportunity to collaborate with leading macro investors within a world-class environment.

Macro Quant Research Software Engineer - Analytics in London employer: Mondrian Alpha

Mondrian Alpha is an exceptional employer that fosters a culture of innovation and autonomy, allowing Research Software Engineers to thrive in a collaborative environment with leading macro investors. Located in the vibrant city of London, employees benefit from a dynamic work culture, ample opportunities for professional growth, and the chance to contribute to cutting-edge macro-economic modeling tools. With a commitment to employee development and a focus on impactful work, Mondrian Alpha stands out as a rewarding place to advance your career.

Mondrian Alpha

Contact Details:

Mondrian Alpha Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Macro Quant Research Software Engineer - Analytics in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mondrian Alpha or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mondrian Alpha.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mondrian Alpha.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mondrian Alpha that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Macro Quant Research Software Engineer - Analytics in London

Python
C#/.NET
Java
C++
Low-Latency Programming
Automated LLM Workflows
Macro-Economic Modelling

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mondrian Alpha.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mondrian Alpha and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Mondrian Alpha

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mondrian Alpha uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.