Job Application for C # Engineer - Risk Engineering at Man Group at Man Group

Sofia, Sofia-City, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C#, .NET, SQL Server, MongoDB, ClickHouse, Linux, Windows, Unit testing, Continuous integration, Refactoring, AI-assisted development, Python, Kafka, Docker, Kubernetes, DevOps

Industry

Investment Management

Description

Job Application for C# Engineer - Risk Engineering at Man GroupBack to jobsSofia About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further The Team This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform. We are looking for a skilled C# Engineer to work within one of our Risk Engineering teams. You will work alongside Investment Risk Managers and other Engineers to deliver solutions that enable daily risk analysis and the continuous improvement of the Man Risk Platform. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team. A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core investment risk and data engineering knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead. Role Responsibilities Own the end-to-end delivery process — from understanding the problem, designing and developing a solution, and delivering value in production Participate in the planning, design, and delivery of longer-term projects alongside senior engineers Develop and maintain core tools and services for risk data onboarding, analysis, and quality management at scale Collaborate with Risk Officers and other Engineering teams to deliver solutions for Investment Risk across Man Group Participate in code reviews and knowledge sharing amongst peers Continuously improve production components — reducing technical debt, increasing release quality, and improving resource utilisation Support production systems and BAU requests, contributing to the team’s support rota Key Competencies Required Strong programming experience in C#/.NET Working knowledge of database technologies (e.g. SQL Server, MongoDB, ClickHouse) Familiarity with Linux environments and comfortable working across both Linux and Windows platforms Strong delivery-focused approach, ensuring business value is being met A proponent of collaborative software engineering practices: code review, unit testing, continuous integration, and refactoring Embracing agentic engineering — willingness and ability to work effectively with AI-assisted development tools as part of daily workflow Confident communicator — able to articulate ideas clearly and deal constructively with differing views A genuine willingness to learn new technologies, programming languages, and domain knowledge Advantageous but not required Exposure to Python and its scientific ecosystem (numpy, pandas, scipy) Experience with data pipeline technologies (e.g. Kafka) Familiarity with containerisation (Docker, Kubernetes) and workflow orchestration (Airflow) Experience with DevOps tooling (CI/CD, Bitbucket, Jenkins/TeamCity) Prior experience with financial market data or alternative data Benefits Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities Hybrid working model Generous parental leave Opportunities for professional development including internal tech talks and external conference attendance Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Responsibilities

The engineer will own the end-to-end delivery of risk solutions, from design to production, while collaborating with risk officers and other engineering teams. They will also maintain core tools for risk data onboarding and participate in code reviews to ensure high-quality software delivery.