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Tier-1 brand, metro location, mid-level ML role with broad stack increases candidate competition.
Requires asset management and portfolio domain knowledge, limiting cross-industry transferability.
Explicit 5+ years, investment domain expertise, specific ML stack, and leadership expectations enforce strict filters.
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Develop and maintain advanced analytics and AI/ML solutions supporting portfolio management, investment operations, distribution, and risk assessment.
Collaborate with investment professionals to translate business requirements into analytical solutions and communicate insights to stakeholders.
Lead model validation/governance processes and mentor junior analytics team members.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or related field.
5+ years of experience applying advanced data science and AI/ML in asset or investment management.
Proficiency in Python, R, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with Azure, Snowflake, Databricks, Power BI, and working with large financial datasets.
Deep understanding of portfolio management, asset allocation, and risk assessment with ability to model investment concepts.
Experience in leading AI/ML model validation and governance within financial services.
Strong communication skills for presenting complex analytics to technical and senior non-technical stakeholders.