Job offer
Senior Data Science Analyst
The job posting seeks a Senior Data Science Analyst who, as part of the Data Science team, will analyze large datasets and collaborate with investment teams to provide data-driven insights for investment decisions. The Senior Data Science Analyst should have experience in data wrangling, time series analysis, and statistical techniques, and be able to analyze complex datasets and present findings.
The role
As a Senior Analyst on the Data Science team, you will acquire, wrangle, map, and analyze large structured and unstructured datasets to support investment research. You will collaborate with investment teams to produce research findings and solutions. As a subject matter expert on select projects, you will conduct fundamental research, perform exploratory analysis, and provide ad hoc insights.Key Areas of Responsibility
- Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend solutions to support investment strategy and decision-making.
- Acquisition, transformation, and analysis of large, unstructured, and disorganized datasets to support investment research and decision-making.
- Ensuring data quality and integrity (KPIs), conducting statistical tests, and preparing research reports to maintain an accessible knowledge base for investment teams.
- Help design and develop our data-driven platform to streamline the data curation process and ensure data availability.
- Contribute to company-wide data initiatives and stay informed about industry trends in alternative data.
Requirements
- 3+ years of proven experience in data wrangling, time series analysis, statistical techniques, and data visualization (Python).
- Expert in the Python data science stack (Pandas, NumPy, PySpark, Matplotlib) with experience managing AI-driven solutions and tools to build scalable solutions.
- Practical knowledge of software, LLM/NLP, and XGBoost.
- Strong programming skills in Python and the ability to work effectively with AI development.
- Ability to present technical findings and concepts to non-technical audiences.
- Experience in developing investment strategies and proactively promoting data-driven solutions.
Nice to Have
- Previous experience working with investment professionals in a fast-paced environment (preferred).
- Experience in building ETL pipelines and proficiency in SQL (preferred).
We offer
- A work environment that promotes equal opportunities.
- Opportunities to leave a lasting impact on our culture and values.
- Extensive opportunities for professional development and flexible work arrangements.
- A comprehensive benefits package that includes paid vacation, pension and auto insurance contributions, income protection, life and long-term disability insurance, group sick pay, and improved parental leave.
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