The Role
We are seeking a highly motivated and experienced engineer to join the Responsible Investment Tech team within Man Technology. You will play a pivotal role in our strategic build-out of cutting-edge technology to achieve our ESG goals. Collaborating with our Responsible Investment (RI) team, Data Science and the investment engines across the company, you will contribute to the development of our quant-driven RI strategies and discretionary RI portfolios.
Your Responsibilities
- Onboarding and analysing the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team.
- Implementing quantitative methods to establish evidence-based views of security's ESG alignment.
- Creating Python APIs to facilitate easy access to ESG data and analysis for systems and researchers.
- Developing tools and reports to ensure actionable ESG data is available firm-wide, including interactive tools, static reports, and Jupyter notebooks.
- Integrating ESG data into Man's back-office systems.
Your Impact and Growth
In this role, you will gain a deep understanding of the Responsible Investment space contributing to and supporting research conducted by our teams. You will have the opportunity to apply technology, and quantitative strategically, shaping our technology landscape and making a significant impact from the start.
Our Technology
We primarily work with Linux and Python, utilizing the full scientific stack (numpy, scipy, pandas, scikit-learn) extensively. MongoDB serves as our primary storage solution. We leverage Docker, Kubernetes, and Airflow for streamlined deployments, while OpenFin and React drive our front-end development.
Working Here
At Man Tech, we foster a small company, no-attitude culture that is transparent, collaborative, and open. You will have ample opportunities for growth and the chance to make a real difference. We actively engage with the broader technology community, hosting and sponsoring London's PyData and Machine Learning Meetups. We also contribute to open-source projects and share our technology innovations.
Technology and Business Skills
We strive to hire only the brightest, best and most highly skilled, passionate technologists.
Essential
- Extensive programming experience, preferably in Python.
- Proficiency in handling large structured and unstructured datasets.
- Advocate for collaborative software engineering techniques (agile development, continuous integration, code review, etc.).
- Proficient with Linux platforms and scripting languages.
- Working knowledge of one or more relevant database technologies (MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server).
- Proficiency with open-source frameworks and development tools (NumPy/SciPy/Pandas, Spark, Jupyter).
Advantageous
- Prior experience with financial market data or alternative data.
- Familiarity with the ESG space and investment technology/approaches.
- Experience in data visualization and modern web app frameworks (e.g., React).
- Proficiency with git.
Personal Attributes
- Strong academic background with a degree in Computer Science, Mathematics, Engineering, or Physics from a leading university.
- Commitment to engineering excellence and a passion for technology.
- Analytical problem-solving skills.
- Strong time management and organization skills.
- Excellent interpersonal and communication skills.
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