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  

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 seeking a Senior C# Engineer to join one of our Risk Engineering teams. This is a senior individual contributor role for someone who sets multi-year technical strategy and delivers it through direct implementation and broad technical leadership across 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

• Set and drive multi-year technical strategy for significant areas of the Risk Engineering platform, aligning with business goals
• Lead the design and architecture of complex, cross-team systems — making decisions that minimise the cost of future change
• Deliver high-impact projects end-to-end, from architecture through to production deployment and operational excellence
• Champion the software products of the Risk Engineering team and drive technical planning and project management
• Champion engineering best practices across multiple teams, including CI/CD, automated testing, and scalable design patterns
• Conduct code reviews and provide deep technical guidance to engineers across the function
• Lead incident response and root cause analysis across systems
• Mentor and develop engineers, fostering a culture of continuous learning and technical excellence
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Required

• Extensive professional experience in C#/.NET with a track record of delivering complex, cross-team technical projects
• Deep understanding of system architecture and distributed systems design
• Proven experience shaping technical strategy — making sound technical choices in ambiguous situations and driving alignment across teams
• Strong knowledge of database technologies (SQL Server, ClickHouse, MongoDB) including schema design, query optimisation, and performance tuning at scale
• Experience with data pipeline technologies (e.g. Kafka) in production environments
• Embracing agentic engineering — ability to leverage AI-assisted development tools to accelerate delivery and drive adoption across the team
• Excellent communication and leadership skills, with the ability to influence and drive consensus
• Passion for mentoring and developing engineering talent
• Strong advocate for collaborative development practices and continuous improvement

Advantageous but not required

• Experience with Python and its scientific ecosystem (numpy, pandas, scipy)
• Familiarity with containerisation (Docker, Kubernetes) and workflow orchestration (Airflow)
• Experience with large-scale data platforms and data engineering at multi-terabyte scale
• Familiarity with financial market data, risk management, or quantitative systems development
• Track record of contributing to engineering culture — tech talks, open-source, or conference presentations

Benefits  

• Modern office located in the OfficeX campus with easy access to transport and amenities.
• Hybrid working model
• Competitive compensation package
• 25 days holiday allowance
• Premium Health insurance
• Employee Assistance program
• Referral Bonus
• Additional days off for long service and volunteering
• Multisport card
• Opportunities for professional development including internal tech talks
• Conference attendance, and engagement with the open-source community.

About the role

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.

As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania

What You'll Do:

Leadership & Strategy

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.

Advanced Research & Algorithm Development

• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.

Scalable Systems & Model Deployment

• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.

Collaboration & Stakeholder Engagement

• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.

Operational Excellence

• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Who you are:

• Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• Experience: 3-6 years in computer vision and machine learning development.
• Core Expertise:
  • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
    • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
    • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
    • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

What we offer

• Market-competitive and pay equity-focused compensation structure
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The agency to innovate, directly impacting product features and customer experiences.
• Opportunity to be part of the core team in a growing setup.
• Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!

The Team/Role

The Fund Administration team supports the operational governance of Man's 300+ fund entities across several focused sub-teams. Core activities include fund financial statements production oversight, service provider management and governance, fund entity closures/liquidations, and oversight of third-party transfer agency activities.

Based in our Sofia office, this role offers structured training and mentorship, developing a comprehensive understanding of fund operations, governance, and operating frameworks. The role requires close collaboration with international colleagues, global stakeholders, and external service providers; a high level of spoken and written English is therefore essential.

Responsibilities

Your role will be dynamic, providing support across various sub-functions within the broader team. Responsibilities will broadly cover work on some, but not necessarily all, of the following areas:
 

Service Provider Management (SPM)

• Governance & Oversight Support: Provide administrative and analytical support to the team's broader governance and oversight activities, including service reviews, due diligence exercises, and performance monitoring across fund service providers.
• New Business & Change Management: Assist senior team members in managing the onboarding of new business and change initiatives with service providers, helping to ensure smooth transitions when new products are launched.
• Commercial Oversight: Support the commercial oversight function by completing administration fee reconciliations and verifying that fees are accurately reflected in systems in line with contractual terms. Assist in preparing fee analysis and flag discrepancies for resolution.
   

Fund Liquidations

• End-to-End Closure: Support the end-to-end fund closure and liquidation process, helping manage fund entities’ passage from the final Net Asset Value (NAV) through to strike-off or liquidator appointment.
• Asset Distributions: Support the coordination of final asset distributions to investors. This includes analysing accruals and reserves to be retained, and working with administrators and transfer agents to ensure the accurate and timely payment of liquidating distributions.
• Process Improvement: Help streamline and standardise liquidation processes across all fund structures, contributing to efforts to consolidate workflows into a single, structured approach.
   

Operations Business Management

• Budgeting & Forecasting: Support Man Group Operations’ departmental budgeting and forecasting processes.
• Reporting & MI: Assist in the production of regular and ad hoc internal reports and management information (MI) for senior management and committees. This includes data gathering, tracking of deliverables, formatting, and the escalation of issues.
• Class Actions: Support the operation of the class actions process, working with claims agents to gather and analyse data that facilitates business decisions on claims participation.
   

Client Operations (COPS) & Fund Financial Reporting (FFR) Support

• Provide planned and ad-hoc analytical and administrative support to both the Client Operations and Fund Financial Reporting teams, assisting with reporting cycles, tracking deliverables, and general cross-team initiatives as required.
   

Skills & Competencies

• Language Skills: Exceptional written and verbal English communication skills are mandatory to engage confidently with international stakeholders at all levels.
• Educational Background: A strong academic background, holding a degree in a numerate discipline such as, financial, accounting, economics, or business.
• Relevant Experience: This role is suited to a recent graduate or someone early in their career. Some prior exposure to operations, accounting, or financial services is advantageous but not essential.
• Technical Skills: Proficiency in MS Office, particularly Microsoft Excel. Familiarity with Power BI or SharePoint is a plus.
• Attributes: High attention to detail and strong organisational skills, with the ability to manage multiple tasks and meet deadlines.
• Team Orientation: A proactive, collaborative team player who learns quickly, applies new concepts well in a fast-paced environment, and is highly motivated to build a career in the financial industry.
   

Why Man Group

• Work on challenging problems at the cutting edge of technology and finance
• Opportunity to make a real impact on investment strategies managing billions in assets
• 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 

The Role 

We’re seeking Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions. 

The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business. 

Role Responsibilities 

• Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure 
• Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability 
• Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases 
• Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate 
• Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team 

Our Technology 

You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology 

Key Competencies 

Essential 

• Minimum 3 years professional software development experience, primarily using Python  
• Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science 
• Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment 
• Proficient on Linux platforms and strong understanding of Git 
• Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB 
• Demonstrated experience working with large data sets, both structured and unstructured 
• Ability to work independently and gather requirements from stakeholders 

Nice to Have 

• Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn) 
• Familiarity with distributed systems and orchestration 
• Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing 
• Contributions to open-source projects 
• Experience working with Large Language Models (LLMs) 
• Experience mentoring junior team members and managing projects 

Why Man Group? 

• Work on challenging problems at the cutting edge of technology and finance  
• Collaborate with world-class engineers, researchers, and investment professionals 
• Receive on-the-job training to develop and succeed at the firm  
• Entrepreneurial, innovation-driven culture 
• Small, agile teams with high autonomy 
• Opportunity to make a real impact on investment strategies managing billions in assets 

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

The Role 

We’re seeking Senior Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions. 

The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business. 

Role Responsibilities 

• Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure 
• Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability 
• Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases 
• Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate 
• Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team 

Our Technology 

You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology 

Key Competencies 

Essential 

• Minimum 3 years professional software development experience, primarily using Python  
• Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science 
• Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment 
• Proficient on Linux platforms and strong understanding of Git 
• Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB 
• Demonstrated experience working with large data sets, both structured and unstructured 
• Ability to work independently and gather requirements from stakeholders 

Nice to Have 

• Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn) 
• Familiarity with distributed systems and orchestration 
• Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing 
• Contributions to open-source projects 
• Experience working with Large Language Models (LLMs) 
• Experience mentoring junior team members and managing projects 

Why Man Group? 

• Work on challenging problems at the cutting edge of technology and finance  
• Collaborate with world-class engineers, researchers, and investment professionals 
• Receive on-the-job training to develop and succeed at the firm  
• Entrepreneurial, innovation-driven culture 
• Small, agile teams with high autonomy 
• Opportunity to make a real impact on investment strategies managing billions in assets 

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

The Role

Join our high-performing Site Reliability Engineering (SRE) team and play a pivotal role in ensuring the reliability, scalability, and performance of the technology powering Man Group’s hedge funds. You’ll have the autonomy, tools, and support to innovate and shape the future of our platform. This is an opportunity to work on cutting-edge projects, gain mentorship from senior leaders, and develop a deep understanding of both technology and the business.

As an SRE, you’ll take ownership of service reliability and deliver solutions that make a real impact. Your initial focus will include leveraging AI to accelerate incident diagnosis and resolution, improving observability, capacity planning, and automation. Over time, you’ll work across our entire infrastructure stack, operating at scale and driving continuous improvement.

Role Responsibilities

• Ensure reliability and performance of critical systems across global infrastructure through proactive monitoring and rapid incident response.
• Design and implement observability solutions using tools like Prometheus, Grafana, ELK, and Loki to provide deep insights into system health.
• Automate operational tasks and build self-service capabilities to eliminate toil and improve efficiency.
• Develop and maintain SLIs, SLOs, and error budgets to guide reliability improvements and inform engineering priorities.
• Participate in incident response efforts, blameless post-mortems, and implement preventive measures to reduce recurrence.
• Collaborate with development teams to improve system design, deployment practices, and operational excellence.
• Operate at scale, managing petabyte-level storage, large CPU/GPU deployments, and high-throughput distributed systems.
• Contribute to capacity planning and performance tuning, ensuring systems meet business demands.
• Manage multiple ELK clusters hosting hundreds of terabytes of logs, telemetry, and APM data.

Key competencies

Required

• Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and reliability best practices.
• Hands-on experience with observability and monitoring tools (Prometheus, Grafana, ELK, Loki, or similar).
• Proficiency with automation tools (Ansible, Terraform) and scripting/programming languages (Python, Go, PowerShell).
• Strong troubleshooting and debugging skills across distributed systems, with the ability to diagnose complex production issues under pressure.
• Experience with incident management, on-call rotations, and post-incident reviews.
• Familiarity with Kubernetes and container orchestration.
• A proactive mindset and ability to take ownership of reliability initiatives.

Advantageous

• Experience with CI/CD pipelines and source control workflows (Git, Jenkins, TeamCity).
• Administration of Linux and Windows systems and exposure to cloud technologies (AWS/Azure).
• Understanding of networking concepts, load balancing, and distributed architectures.
• Knowledge of AI/LLM concepts (context windows, prompt tuning, MCP servers).
• Interest in FinOps principles, desire to understand the true cost of our decisions.
• Excellent communication and collaboration skills.

Benefits

• Modern office located in the OfficeX campus with easy access to transport and amenities.
• Hybrid working model
• Competitive compensation package
• 25 days holiday allowance
• Premium Health insurance
• Employee Assistance program
• Referral Bonus
• Additional days off for long service and volunteering
• Multisport card
• Opportunities for professional development including internal tech talks
• Conference attendance, and engagement with the open-source community.

The Team

We are seeking an experienced System Engineer to join our End User Engineering team. You’ll play a critical role in building and maintaining the automation frameworks that underpin our End User infrastructure operations. This position offers the opportunity to work with cutting-edge technologies at scale, supporting our End User platforms.

You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

Role Responsibilities

As an System Engineer, you’ll design, implement, and maintain infrastructure-as-code solutions, configuration management, monitoring systems, whilst also supporting business-as-usual activities.

You’ll work closely with the entirety of our infrastructure organization, and other platform teams to drive automation initiatives that help us further provide platforms that drive our delivery. The role is subject to on-call rotation.

Key Competencies

Required

• Experience supporting End User platforms such as Microsoft 365 and Slack.
• Exposure to identity management and associated technologies (Active Directory, Entra ID).
• Experience supporting End User clients such as Windows, MacOS, and mobile devices.
• Proficiency with automation tools (Ansible, Terraform) and scripting/programming languages (Python, Go, PowerShell).
• Strong troubleshooting and debugging skills across distributed systems, with the ability to diagnose complex production issues under pressure.
• Awareness of security best practices, and infrastructure architecture patterns.
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow

Advantageous

• Experience with device management, including Intune and Jamf
• Hands-on experience with observability and monitoring tools (Prometheus, Grafana, ELK, Loki, or similar).
• Experience with CI/CD pipelines and source control workflows (Git, Jenkins, TeamCity).
• Knowledge of AI/LLM concepts (context windows, prompt tuning, MCP servers).
• Self-organised with the ability to prioritise and effectively manage time across multiple projects. 
• Excellent communication and problem-solving skills with the ability to explain complex technical concepts to diverse audiences.  

Benefits

• Modern office located in the OfficeX campus with easy access to transport and amenities.
• Hybrid working model
• Competitive compensation package
• 25 days holiday allowance
• Premium Health insurance
• Employee Assistance program
• Referral Bonus
• Additional days off for long service and volunteering
• Multisport card
• Opportunities for professional development including internal tech talks
• Conference attendance, and engagement with the open-source community.