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Mid-level ML role in Bangalore with popular skills, metro location, and broad platform requirements increases competition.
Requires asset management and portfolio modeling expertise, reducing transferability across unrelated industries.
Explicit 5+ years, finance domain expertise, and required Azure/Snowflake/Databricks/ML frameworks make filters strict.
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Develop and maintain advanced data analytics and AI/ML solutions supporting portfolio management, investment operations, and risk assessment.
Collaborate with investment professionals to translate business needs into analytic solutions and communicate insights to diverse stakeholders, including senior management.
Lead AI/ML model validation processes and mentor junior analytics team members while partnering with IT/Data Engineering to ensure data infrastructure robustness.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or related field.
5+ years of hands-on experience applying advanced data science and AI/ML techniques in asset or investment management.
Proficiency in Python, R, SQL, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn; experience with Azure, Snowflake, Databricks, and Power BI.
Strong understanding of portfolio management, asset allocation, and risk assessment practices.
Experienced in using advanced analytics to solve complex investment management problems with measurable impact on portfolio and risk outcomes.
Comfortable working cross-functionally with investment professionals and technical teams to ensure actionable and scalable analytics solutions.
Proven leadership skills in mentoring analytics professionals and driving innovation within a collaborative team environment.