Key Responsibilities
- Deliver data analysis and reporting for the investment teams.
- Act as a champion for data science by applying statistical analysis and visualisation techniques.
- Design data pipelines, infrastructure, and processes to power advanced modelling work.
- Perform hands-on modelling and algorithm development.
- Oversee the curation and structuring of data to feed models, including large language model investment co-pilot.
- Keep current on advancements in data science and implement solutions tailored to needs.
- Hire and manage external data scientists or other resources. Set priorities, provide oversight and foster excellence.
- Communicate insights from analyses to both technical and non-technical audiences.
Qualifications
- Degree in statistics, computer science, data science, or any other quantitative field (e.g., engineering, physics).
- Significant/ extensive experience applying data science in investment management.
- Experience applying basic statistical techniques.
- In-depth knowledge of Excel and familiarity with financial valuation models and basic accounting.
- Proficient in Python, SQL, ML, NLP, and data visualisation.
Important characteristics
- Must be entrepreneurial and a self-starter.
- A strong communicator capable of simplifying complex concepts.
- Willing to roll up their sleeves (there is minimal ability in this role to delegate tasks to subordinates).
- New York Location
- PermanentJob Type
- Competitive salary