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For Companies At a Glance
- Tasks: Join our team to build innovative trading strategies and alphas in a dynamic environment.
- Company: Man Group, a leading global investment management firm with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible working, generous holidays, and continuous learning opportunities.
- Other info: Be part of a diverse team with excellent career growth and community engagement opportunities.
- Why this job: Make a real impact in finance while working with cutting-edge technology and passionate professionals.
- Qualifications: Strong Python skills, a background in maths or computing, and a passion for technology.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.
The Role
As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm – Man AHL. The team works hand‑in‑hand with Quant Researchers focusing on equity market‑neutral models. Your challenges will be varied, involving building new alphas and new trading strategies.
The Team
Quant Developers are part of our broader technology team, comprised of over sixty individuals representing eighteen nationalities. We have varied backgrounds, from Computer Science, Mathematics, Physics and Engineering to Classics, but what unifies us is a passion for technology and writing high‑quality code.
Technology
Our systems run primarily on Linux and most of our code is in Python, using a scientific stack that includes NumPy, SciPy, pandas and scikit‑learn. We implement high‑throughput systems in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana & Prometheus for metrics, ELK for log shipping and monitoring, Docker & Kubernetes for containerisation, OpenStack for our private cloud, Ansible, Terraform for automation, and Slack for communication. We also utilise ArcticDB, our in‑house DataFrame database.
Technology and Business Skills
- Exceptional technology skills; recognised by your peers as an expert in your domain
- A keen interest and understanding of financial markets and instruments
- A proponent of strong collaborative software engineering techniques: agile development, continuous integration, code review, unit testing, refactoring
- Strong knowledge of Python
- Proficiency on Linux platforms with knowledge of various scripting languages
- Experience with data analysis techniques and libraries such as NumPy, SciPy, pandas
- Relevant mathematical knowledge: statistics, asset pricing theory, optimisation algorithms
Advantageous
- Experience of front‑office quantitative software development e.g. in a hedge fund or investment bank
- Experience of web‑based development and visualisation technology for large, complex data sets
- Experience of machine‑learning techniques, natural language processing and related libraries such as scikit‑learn, TensorFlow
Personal Attributes
- Strong academic record with a degree containing high mathematical and computing content (e.g. Computer Science, Mathematics, Engineering or Physics from a leading university)
- Craftsman‑like approach to building software; pride in engineering excellence and instils these values in others
- Demonstrable passion for technology (personal projects, open‑source involvement)
- Intellectually robust with a keenly analytic approach to problem solving
- Self‑organised, able to manage time across multiple projects and competing business demands
- Focused on delivering value to the business with relentless efforts to improve process
- Strong interpersonal skills; able to establish and maintain close working relationships with quantitative researchers, traders and senior business people
- Confident communicator; able to argue a point concisely and deal positively with conflicting views
Working Here & Benefits
Man Group has a small‑company, no‑attitude feel. It is flat‑structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and make a significant impact. We are actively engaged with the broader technology community.
We host and sponsor London’s PyData and Machine Learning Meetups. We regularly speak at leading industry conferences and share relevant technology on Twitter.
We offer competitive compensation, generous holiday allowance, flexible benefits, and commitment to continuous learning and development via coaching, mentoring, conference attendance and qualification sponsorship.
Inclusion, Work‑Life Balance and Benefits at Man Group
You will thrive in an environment that champions equality of opportunity. Your unique perspective will contribute to our success, within a workplace where inclusion is fundamental and deeply embedded. Through external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and foster an inclusive environment.
You’ll also have opportunities to make a difference through charitable and global initiatives, while advancing your career through professional development. Flexible working arrangements are available. Like all our people, you’ll receive two annual "Mankind" days of paid leave for community volunteering.
Benefits Package
Our comprehensive benefits include competitive holiday entitlements, pension/401k, life and long‑term disability coverage, group sick pay, enhanced parental leave and long‑service leave. Depending on location, additional benefits such as private medical coverage, discounted gym membership options and pet insurance may be available.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, colour, 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 TalentAcquisition@man.com.
Quant Developer - AHL employer: Man Group
Contact Detail:
Man Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - AHL
✨Tip Number 1
Network like a pro! Reach out to current employees at Man Group on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got personal projects or open-source contributions, make sure to highlight them. This is your chance to demonstrate your passion for technology and coding prowess.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of financial markets and quantitative techniques. Be ready to discuss how your skills in Python and data analysis can contribute to building new trading strategies.
✨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, it shows you’re genuinely interested in joining the team at Man Group.
We think you need these skills to ace Quant Developer - AHL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Developer role. Highlight your experience with Python, Linux, and any relevant projects that showcase your tech skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for technology and finance, and explain why you’re excited about joining Man Group. Let us know how you can contribute to our team and culture.
Showcase Your Projects: If you've worked on personal or open-source projects, don’t hold back! Include links or descriptions in your application. We love seeing your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team at Man Group!
How to prepare for a job interview at Man Group
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python and its scientific libraries like NumPy and pandas. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Brush Up on Financial Knowledge
Since this role involves working with financial markets, make sure you understand key concepts like asset pricing theory and optimisation algorithms. Being able to discuss these topics will show your genuine interest in the field.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical problems during the interview. Practice coding challenges and be ready to explain your thought process clearly. This will demonstrate your analytical skills and how you approach complex issues.
✨Emphasise Collaboration
Highlight your experience working in teams, especially in agile environments. Discuss how you've contributed to code reviews or collaborative projects, as this aligns with the company's focus on teamwork and high-quality software engineering.