- 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 for a full list and more information.
- 2-3 years of professional experience in software engineering, preferably with a focus on quantitative applications
- Proficiency in Python and experience with scientific libraries including Pandas, NumPy, SciPy, statsmodels and scikit-learn
- Experience working on production systems, with an understanding of best practices for testing, monitoring, and deployment
- Comfortable working on Linux platforms and using Git
- Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB
- Experience 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
- 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
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Software Engineer - Boston, United States - Man Group plc
Description
About Man NumericMan Numeric employs systematic security-selection processes that are underpinned by a bottom-up, fundamental approach, offering both long only and alternative strategies. The team's highly experienced professionals operate collaboratively, distilling their analytical and investment expertise into systematic processes which are applied across regions, styles, and capitalizations.
Man Numeric has a strong history in public equities, focusing on bottom-up stock selection processes based on fundamental, causal market relationships and reinforced by continuous research. Its approach seeks to capitalize on temporary market inefficiencies, with models that look to identify mispricing opportunities. Furthermore, the engine seeks to innovate continually and research new areas and opportunities. Man Numeric has significant capabilities in systematic responsible investing, with around half of its assets managed employing some form of sustainability screen.
Founded in 1989 and becoming part of Man Group in 2014, Man Numeric's funds under management were more than $41.0 billion as at 30 June 2023. Further information can be found at
The Role
As a 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.
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 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.
Technology and Business Skills
We strive to hire only the brightest, best and most highly skilled, passionate technologists.
Essential
Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. 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. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry. Man Group is also a Signatory of the Women in Finance Charter.
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.