At a Glance
- Tasks: Design and build cutting-edge risk analytics systems using C# and Python.
- Company: Leading systematic hedge fund in New York with a dynamic London team.
- Benefits: Competitive salary, top-tier healthcare, fully subsidised qualifications, and daily meals.
- Other info: Opportunity for significant career growth in a fast-paced, technical environment.
- Why this job: Join a high-impact team and innovate in risk technology for real-time analytics.
- Qualifications: Expertise in software development and experience in financial services risk technology.
I’m working with a leading systematic hedge fund in New York that is seeking an elite C# Developer to join its Risk Development team in London. This is a front‑footed technical role in one of the most business‑critical engineering groups in the firm – focused on designing and scaling cutting‑edge risk systems that power real‑time and historical analytics for PMs, risk officers, and senior leadership.
As part of this team, you’ll be building foundational components to support stress testing, equity factor models, VaR, risk decomposition, and analytics tooling. You’ll also contribute to scaling the firm’s large‑scale data systems and driving modernization efforts across risk technology. You'll work in a highly technical environment using Python and have the opportunity to contribute to high‑performance architecture, cloud‑based data platforms (AWS, Snowflake, Redshift), and streaming technologies (Kafka).
Responsibilities
- Design and build scalable systems for risk analytics, stress testing, VaR, and multi‑factor risk modeling across asset classes.
- Develop and maintain high‑performance services in an OOP language, with strong focus on clean architecture and modular design.
- Own the full lifecycle of solutions from conception to deployment, including data storage, transformation, analysis, and visualisation.
- Collaborate with risk managers, PMs, and other engineering teams to deliver production‑grade risk tools and analytics.
- Drive innovation within risk infrastructure, leveraging modern technologies to modernise data processing and enhance system resiliency.
- Provide Level 3 production support for global users and continuously iterate based on business feedback.
Requirements
- Expertise in software development, with deep understanding of software design principles and system architecture.
- Strong experience with relational databases and data modelling for large‑scale analytical applications.
- Background in risk technology or quantitative engineering within the financial services industry.
- Excellent written and verbal communication skills; able to translate technical ideas into actionable business value.
- Proven track record of ownership and delivery in high‑performance, high‑stakes environments.
My client anticipates to pay a strong performer upwards of £500k year 1 total compensation package. As well as a market‑leading compensation package, they offer exceptional benefits including a top‑tier healthcare package, fully subsidised qualifications plus breakfast and lunch paid for each day.
Real-time Risk Analytics Engineer (C#/Python) employer: Mondrian Alpha
Join a leading systematic hedge fund in London, where you'll be at the forefront of risk technology innovation. With a strong focus on employee growth, the company offers exceptional benefits including a top-tier healthcare package and fully subsidised qualifications, alongside a vibrant work culture that encourages collaboration and technical excellence. This is an opportunity to thrive in a high-performance environment while contributing to cutting-edge risk systems that drive real-time analytics for key decision-makers.
StudySmarter Expert Advice🤫
We think this is how you could land Real-time Risk Analytics Engineer (C#/Python)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at hedge funds or in risk analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C# and Python, especially those related to risk analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Real-time Risk Analytics Engineer (C#/Python)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Real-time Risk Analytics Engineer. Highlight your experience with C#, Python, and any relevant risk technology projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about risk analytics and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building scalable systems or working with cloud technologies, we want to see your hands-on experience and innovative solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Inside Out
Make sure you’re well-versed in C# and Python, as these are crucial for the role. Brush up on your knowledge of software design principles and system architecture, and be ready to discuss how you've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in risk technology or quantitative engineering. Use examples that highlight your ability to design scalable systems and your experience with stress testing and risk modelling.
✨Communicate Clearly
Since you'll need to collaborate with various teams, practice explaining complex technical concepts in simple terms. This will demonstrate your excellent communication skills and your ability to translate technical ideas into business value.
✨Demonstrate Ownership and Delivery
Be ready to share instances where you took full ownership of a project from conception to deployment. Highlight your experience in high-performance environments and how you’ve iterated based on feedback to improve systems.
