Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable risk analytics platforms for a leading investment firm.
- Company: Join a globally respected multi-strategy investment firm focused on technical excellence.
- Benefits: Enjoy a hybrid work model and the chance to shape critical systems.
- Why this job: Be part of a high-performing team making impactful decisions in finance technology.
- Qualifications: 10+ years in software engineering with strong C#/.NET skills and risk analytics experience.
- Other info: This role offers autonomy and visibility within a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading global multi-strategy investment firm is looking for a Senior C# Engineer to join their Risk Technology team, focused on building critical risk analytics infrastructure. This platform is used extensively across the firm by risk managers and investment teams, supporting high-throughput, low-latency processing of complex financial datasets. You will be part of a collaborative, high-performing team that values technical expertise, clean architecture, and scalable solutions.
The ideal candidate is an experienced engineer with strong C#/.NET skills, deep systems design knowledge, and familiarity with risk modelling or analytics.
Key Responsibilities- Designing and building performant, scalable risk analytics platforms that operate at scale
- Partnering closely with risk managers and engineers to evolve the firm’s risk infrastructure
- Contributing across the full development lifecycle - from architecture and design through to deployment and optimisation
- Ensuring robustness through high test coverage, automation, and best-in-class design patterns
- 10+ years of professional experience in software engineering, with a deep command of C# and the .NET ecosystem
- Proven experience developing systems that process large datasets efficiently and with low latency
- Exposure to risk modelling or quantitative analytics in capital markets - especially in asset classes like equities or rates
- Prior experience integrating or working with platforms like MSCI RiskMetrics or equivalent
- Strong SQL (preferably T-SQL) and database design experience
- A collaborative, solutions-oriented mindset with strong communication skills
- Computer Science, Mathematics, Engineering or similar academic background
This is a high-impact, high-visibility role within a globally respected investment firm that places real emphasis on technical excellence. You’ll be working on mission-critical platforms used across the front office, with the autonomy to shape systems and make key architectural decisions.
Interested in learning more? Apply now or reach out for a confidential conversation.
C# Risk Analytics Engineer employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C# Risk Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies and tools mentioned in the job description, such as C#/.NET and SQL. Being able to discuss your experience with these technologies in detail during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Network with professionals in the hedge fund and asset management sectors. Attend industry meetups or online webinars where you can connect with individuals who work in risk analytics or technology roles, as they may provide valuable insights or even referrals.
✨Tip Number 3
Prepare to discuss your experience with risk modelling or quantitative analytics. Be ready to share specific examples of how you've applied these concepts in previous roles, as this will show your understanding of the financial datasets you'll be working with.
✨Tip Number 4
Research the company’s culture and values, particularly their emphasis on technical excellence and collaboration. Tailor your conversation during interviews to reflect how your personal values align with theirs, which can help you stand out as a candidate.
We think you need these skills to ace C# Risk Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in software engineering, particularly focusing on your C# and .NET skills. Include specific examples of projects where you've built scalable risk analytics platforms or worked with large datasets.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your familiarity with risk modelling and quantitative analytics, and how your background aligns with the key responsibilities outlined in the job description.
Showcase Relevant Projects: If you have experience with platforms like MSCI RiskMetrics or similar, be sure to mention these in your application. Highlight any specific achievements or contributions you made in those roles that demonstrate your ability to handle high-throughput, low-latency processing.
Highlight Collaboration Skills: Since the role involves partnering closely with risk managers and engineers, emphasise your collaborative mindset and communication skills. Provide examples of how you've successfully worked in teams to evolve technology solutions in previous positions.
How to prepare for a job interview at McGregor Boyall
✨Showcase Your C# Expertise
Make sure to highlight your extensive experience with C# and the .NET ecosystem. Be prepared to discuss specific projects where you implemented complex systems, focusing on performance and scalability.
✨Demonstrate Your Understanding of Risk Analytics
Familiarise yourself with risk modelling and quantitative analytics, especially in capital markets. Be ready to explain how your background aligns with the firm's focus on risk analytics infrastructure.
✨Discuss Your Development Lifecycle Experience
Talk about your involvement in the full development lifecycle, from architecture to deployment. Provide examples of how you've ensured robustness through testing and automation in previous roles.
✨Emphasise Collaboration Skills
Since this role involves partnering closely with risk managers and engineers, be sure to convey your collaborative mindset. Share experiences where effective communication led to successful project outcomes.
