TREASURY DATA SCIENTIST @ STRAIVE
Straive is seeking a dedicated Treasury Data Scientist to join our team in Mumbai under a hybrid work arrangement. This role is specifically designed for professionals with 3 to 6 years of experience who possess a deep understanding of treasury functions such as cash management, foreign exchange (FX), liquidity, and risk assessment. The successful candidate will be responsible for leveraging advanced data science methodologies to optimize financial operations and provide actionable insights through sophisticated modeling and data visualization.
In this position, you will utilize technical expertise in Python, SQL, and various BI tools like Power BI, Qlik, or Tableau to manipulate complex datasets. You will also be expected to implement machine learning and Generative AI applications within the finance domain to stay ahead of industry trends. We are looking for an immediate joiner with a strong educational background in Data Science, Finance, or Economics who can communicate data-driven stories effectively to stakeholders. This role provides an excellent opportunity to work at the intersection of high-level finance and cutting-edge data technology.
In this position, you will utilize technical expertise in Python, SQL, and various BI tools like Power BI, Qlik, or Tableau to manipulate complex datasets. You will also be expected to implement machine learning and Generative AI applications within the finance domain to stay ahead of industry trends. We are looking for an immediate joiner with a strong educational background in Data Science, Finance, or Economics who can communicate data-driven stories effectively to stakeholders. This role provides an excellent opportunity to work at the intersection of high-level finance and cutting-edge data technology.
Key Requirements
Minimum of 3 to 6 years of professional experience in data science or financial analytics.
Strong proficiency in Business Intelligence tools such as Power BI, Qlik, or Tableau.
Expertise in SQL and Python for data manipulation, modeling, and automation.
Hands-on experience with statistical modeling and machine learning techniques.
Advanced knowledge of Excel, including Power Query and VBA programming.
Prior exposure to Machine Learning and Generative AI applications in a finance context.
Solid understanding of Data Warehousing concepts and ETL (Extract, Transform, Load) processes.
In-depth knowledge of treasury functions including Cash, FX, Liquidity, and Risk management.
Bachelor’s or Master’s degree in Data Science, Finance, Economics, or a related quantitative field.
Excellent English communication skills with the ability to perform data storytelling.