Data Scientist

This role will be working in the Data and Analytics Products group – Data Operations team. The group leverages cutting edge technology (including Generative AI) and domain knowledge to create products to solve challenges in the alternative investment space. The data operations team is responsible for transforming unstructured, and often non-digital data into a structured and digitized format, which will be fed into various products. The team is looking for a data scientist based in India to join our growing team.

RESPONSIBILITIES

• Use conventional data science techniques (Data Cleaning, Data Aggregation, Machine Learning) as well as more modern techniques like Generative AI to generate structured data from non-structured sources.
• Collaborate with other data scientists to create and/or enhance existing data pipeline workflows.
• Participate in daily scrum meetings to ensure open communication and collaboration throughout the development cycle.
• Current projects involve the normalization and standardization of corporate financial statements but will extend to fund statements, credit agreements, compliance certificates, and other use cases.
• Design and implement algorithms to generate additional insights from reported corporate financial data as well as contribute to enhance the existing process.
• Build robust automatic quality control process to ensure quality of outputs.
• Use Python, R, and Databricks extensively to modify or create workflows to process, standardize, sanitize and secure data.
• Document new enhancements and logic changes.
• Collaborate with other data scientists and subject matter experts throughout the product design and implementation cycle.
• Help with ad-hoc projects and provide timely supports to the project team.

QUALIFICATIONS

• Master’s degree or equivalent in mathematics, Statistics, Economics, Computer Science, Financial Engineering or other quantitative fields.
• 2+ years of the data scientist related experience handling big data sets for targeted business use cases. Having experience in handling corporate financials data is a plus.
• Strong programming skills in Python, R, and SQL. Having experience in Databricks platform, C/C++/Java is a plus.
• Have strong analytical skills, critical thinking and problem-solving ability is a must.
• Focus on outcomes and quality of output.
• Good communication, specifically with folks across different time zone and geographies.
• Strong organizational, and multi-tasking skills.