Senior Software Engineer at Man Group

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

165000.0

Posted On

12 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, Java, MS SQL, MongoDB, Git, Linux, Kafka, Airflow, Docker, Ansible, React

Industry

Investment Management

Description

Job Application for Senior Software Engineer at Man GroupBoston; Massachusetts 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 information can be found at www.man.com * As at 31 December 2025 The Role 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 Technology 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. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential 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 Advantageous 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 Personal Attributes 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 Working Here 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. 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, . 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. The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. US Pay Range $135,000 - $165,000 USD 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. Through 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. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. 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.

Responsibilities

The Senior Software Engineer will collaborate closely with Quantitative Researchers and Portfolio Managers on varied challenges, including implementing trading signals, developing optimization tools, and enhancing the research platform. Responsibilities involve performance tuning existing code using efficient numerical algorithms and cluster-computing solutions.