Associate Software Engineer

Man Group•Boston, MA

8h•$80,000 - $100,000•Hybrid

About The Position

We’re looking for a high-performing associate software engineer to join the engineering team of Man Group’s central data platform, named Codex. Projects don’t get much more cross-cutting or high-profile than this: we have hundreds of internal users and whatever you work on will be used by teams across the business for years to come. Fundamentally, we are not a data engineering team: we empower our userbase to become data engineers with our software. This is a great time to join the team as we consider how to expand our offering to the entire business with some true greenfield projects. There are three main pillars of the Codex platform: Data Acquisition - an ETL/ELT platform for research and production which scales to multi-terabyte datasets; and can index all data at Man for re-usability and discoverability. Data Governance - cataloguing the thousands of datasets at Man; allowing discovery, entitlements, data quality, and end-to-end data lineage. Data Delivery - providing a unified interface across the thousands of datasets across Man with a focus on scaling, identifier mapping, and UX. Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Pandas, Dataiku, Snowflake, Prometheus, and ArcticDB heavily. We use Kafka for data pipelines, Python and Spark for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, 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. The Man Group team in Boston team 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 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, . See 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. 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.

Requirements

Expertise in software engineering, ideally in Python.
Demonstrated ability to work collaboratively in team settings, with strong communication skills.
Familiarity with one or more relevant database technologies such as Snowflake, PostgreSQL, Iceberg, or MongoDB.
Genuine interest in tackling data challenges at scale.
Proficiency in (at least) one programming language, modern software engineering principles, and clean code practices.
Understanding of software testing fundamentals, including the testing pyramid.
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
Clear communicator: able to argue a point concisely and deal positively with conflicting views

Nice To Haves

Exposure to building reliable, production-grade applications.
Comfortable working on Linux platforms and using Git
Experience with Python and proficiency with scientific libraries such as Pandas, NumPy, SciPy, statsmodels and scikit-learn
An interest in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank
Experience working with large data sets, both structured and unstructured
Experience building web applications using modern frameworks like React
Awareness of distributed computing technologies such as Spark, Dask, Kubernetes, Redis
Good understanding of financial markets and instruments
Experience working with financial market data
Relevant mathematical knowledge e.g., statistics, time-series analysis

Benefits

competitive compensation
generous holiday allowance
various health and other flexible benefits
continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications
pension/401k
life and long-term disability coverage
group sick pay
enhanced parental leave
long-service leave
private medical coverage
discounted gym membership options
pet insurance