Data Scientist

Data Scientist

Your Key Responsibilities

• Utilize

  Python

  and frameworks like

  pandas, numpy, and dask

  to process, aggregate, and manipulate large financial datasets.
• Apply

  statistical modeling and AI techniques

  to improve data processing, forecasting, and decision-making.
• Identify opportunities for

  AI adoption

  in data processing, analytics, and decision-making.
• Ensure

  data quality, integrity, and consistency

  across different sources.
• Create presentations and reports that effectively communicate data findings to stakeholders.
• Take ownership of assigned tasks with minimal supervision, ensuring timely and high-quality deliverables.

Your Skills and Experience That Will Help You Excel

• Degree in

  Computer Science, Statistics, Information Technology, and/or Finance

  .
• Proficiency in

  Python

  and its various frameworks like

  pandas, numpy, and dask

  .
• Good knowledge in

  statistics

  as well as

  statistical modeling

  for aggregating big datasets, resampling data, and explaining data.

• Data Visualization Frameworks

  like Power BI, Streamlit, or any other Python Frontend framework is a plus.
• Strong interest in Finance with work experience in

  finance and/or capital markets

  .
• Experience dealing with providers of financial data products (MSCI, Refinitiv, ICE, S&P, Factset etc.) preferred.
• Good communication skills (written and oral) and proficiency in creating presentations.
• You are an independent worker who can drive certain parts of the work with minimal oversight.