Man Group
Senior Software Engineer
Man Group, Boston, Massachusetts, us, 02298
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 capitalisations.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 capitalise 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
www.man.com/numeric .The RoleAs 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 TechnologyOur 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 HereMan 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 @manquanttechWe host and sponsor Boston meetups and London’s PyData and Machine Learning MeetupsWe 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 2-3 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.Technology and Business SkillsWe strive to hire only the brightest, best and most highly skilled, passionate technologists.Essential5-7 years of professional experience in software engineering, preferably with a focus on quantitative applicationsExpert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learnExperience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deploymentProficient on Linux platforms and strong understanding of GitWorking knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDBDemonstrated experience working with large data sets, both structured and unstructuredAdvantageousExperience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bankExperience mentoring junior team members and managing projectsExperience building web applications using modern frameworks like ReactProficient with distributed computing technologies such as Spark, Dask, Kubernetes, RedisKnowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousingStrong understanding of financial markets and instrumentsExperience working with financial market dataRelevant mathematical knowledge e.g., statistics, time-series analysisPersonal AttributesStrong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or PhysicsIntellectually robust with a keenly analytic approach to problem solvingSelf-organised with the ability to effectively manage time across multiple projects and with competing business demands and prioritiesFocused on delivering value to the business with relentless efforts to improve processStrong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alikeConfident communicator: able to argue a point concisely and deal positively with conflicting views
#J-18808-Ljbffr
www.man.com/numeric .The RoleAs 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 TechnologyOur 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 HereMan 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 @manquanttechWe host and sponsor Boston meetups and London’s PyData and Machine Learning MeetupsWe 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 2-3 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.Technology and Business SkillsWe strive to hire only the brightest, best and most highly skilled, passionate technologists.Essential5-7 years of professional experience in software engineering, preferably with a focus on quantitative applicationsExpert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learnExperience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deploymentProficient on Linux platforms and strong understanding of GitWorking knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDBDemonstrated experience working with large data sets, both structured and unstructuredAdvantageousExperience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bankExperience mentoring junior team members and managing projectsExperience building web applications using modern frameworks like ReactProficient with distributed computing technologies such as Spark, Dask, Kubernetes, RedisKnowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousingStrong understanding of financial markets and instrumentsExperience working with financial market dataRelevant mathematical knowledge e.g., statistics, time-series analysisPersonal AttributesStrong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or PhysicsIntellectually robust with a keenly analytic approach to problem solvingSelf-organised with the ability to effectively manage time across multiple projects and with competing business demands and prioritiesFocused on delivering value to the business with relentless efforts to improve processStrong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alikeConfident communicator: able to argue a point concisely and deal positively with conflicting views
#J-18808-Ljbffr