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Tier-1 brand, metro location, mid-level ML role with broad skillset increases applicant competition.
Requires specific asset management experience, making cross-industry transferability limited.
Explicit 5+ years requirement plus domain-specific asset management and ML model experience.
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Develop and maintain advanced analytics and AI/ML solutions to support portfolio management, investment operations, distribution, and risk assessment in asset management.
Collaborate with investment professionals to identify opportunities, translate business needs into analytical solutions, and communicate insights to stakeholders including senior management.
Lead AI/ML model validation and governance, oversee data pipeline integrity in partnership with IT and Data Engineering, and mentor junior analytics team members.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a closely related field.
5+ years of experience applying advanced data science and AI/ML techniques in asset or investment management environments.
Proficiency in Python, R, SQL, machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and platforms such as Azure, Snowflake, Databricks, and Power BI.
Strong understanding of portfolio management, asset allocation, risk assessment, and working with large complex financial datasets.
Experienced data science professional with a track record of applying AI/ML to investment management and asset servicing domains.
Strong ability to bridge investment concepts with analytical model development and to communicate complex technical insights to varied stakeholders including senior management.
Operates effectively in collaborative, governance-driven environments and capable of mentoring and fostering innovation within analytics teams.