Senior Software Engineer

As a Senior Software Engineer in the Front-office Engineering organization at Man Numeric, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions.

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and MS SQL.

We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.

Man Numeric 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 have enormous impact on what we do.  We are actively engaged with the broader technology community.

• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manquanttech
• We host and sponsor Boston meetups and London’s PyData and Machine Learning Meetups
• We open-source some of our technology, including our ultra-high-performance DataFrame database, ArcticDB. See https://github.com/man-group for a full list and more information.

We’re fortunate enough to have a fantastic open-plan office overlooking the Boston harbour, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on work-life balance and the wellbeing of our staff. We are simultaneously committed to “levelling the playing field” and believe that agile working promotes inclusivity across teams, regions and business units. In general, Technology roles are expected to be in the office for 3 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager’s discretion.

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

We strive to hire only the brightest, best and most highly skilled, passionate technologists.

• 5-7 years of professional experience in software engineering, preferably with a focus on quantitative applications
• Expert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn
• 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
• Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB
• Demonstrated experience working with large data sets, both structured and unstructured

• Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank
• Experience mentoring junior team members and managing projects
• Experience building web applications using modern frameworks like React
• Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis
• Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
• Strong understanding of financial markets and instruments
• Experience working with financial market data
• Relevant mathematical knowledge e.g., statistics, time-series analysis

• Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike
• Confident communicator: able to argue a point concisely and deal positively with conflicting views

About Man Numeric 

Man Numeric is a fundamentally-driven systematic investment manager. It takes a bottom-up approach to research and security selection and distils its findings into systematic processes that are applied across regions, styles and capitalisations. It offers long-only and alternative investment strategies that invest in both equity and credit markets.

The firm’s research-driven culture, which is underpinned by advanced technology and data science techniques, focuses on innovation and enhancement across alpha generation, risk management, portfolio construction and implementation.

Man Numeric has capabilities in systematic responsible investing, offering dedicated quantitative strategies and incorporating proprietary ESG and Climate alpha signals across a diverse range of strategies.

Founded in 1989 and becoming part of Man Group in 2014, Man Numeric’s assets under management were $39.4 billion at 30 September 2023. Further information can be found at www.man.com/numeric.

Our Culture, Values and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry. Man Group is a Signatory of the Women in Finance Charter and the Race at Work Charter.  Man Group is also a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact Write an email.  https://www.man.com/diversity

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave.  Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

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 Write an email.