data scientist London, England
Millennium
Full Time
London, England
70967 - 60967 GBP ANNUAL Today
Job description
Data Scientist / Quant Researcher
Qualification / skills required:
- Masters or PhD in a quantitative subject
- Good programming skills Python / SQL / VBA / R.
- Good understanding of data science techniques like regression, statistical testing and machine learning methods to analyse data and time series.
- Good understanding of AI including Chat GPT
- Broad understanding of equities, derivatives, futures, FX, or other financial-services instruments.
Soft skills:
- Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure.
- Can work independently and in a collaborative environment as the role will imply working with all team members.
- Can handle several projects with different priorities at the same time in a fast-paced environment.
- Excellent self-management and problem-solving skills.
- Results-oriented, can deliver quality code quickly.
Role:
- Identifying and sourcing datasets to supporting fundamental research into companies, industries, and sectors (web scrapping, database automation).
- Working alongside the PMs & analysts on building analytical models to enhance fundamental research into companies and sectors.
- Doing ad-hoc analysis and presenting results in a clear and timely manner.
- Optimizing current screening tools and develop new ones.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Create and maintain an optimal data pipelines (e.g. with Python + SQL) for both internal and external datasets.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Initiating and developing primary industry contacts + manage relationship with the internal data teams at Millennium.
About Millennium
CEO: Israel Alexander Englander
Revenue: Unknown / Non-Applicable
Size: 1001 to 5000 Employees
Type: Company - Private
Website: https://www.mlp.com
Year Founded: 1989
