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Tier-1 brand, metro location, mid-level ML role with broad skills increases applicant competition.
Core ML skills transferable but finance-specific model controls raise industry specificity.
Explicit 3+ years ML requirement, mandatory tech skills and finance controls increase filtering.
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Build and maintain machine learning models for Wealth Management business verticals to generate predictive analytics and insights aiding business decision-making.
Monitor, recalibrate, and support the deployment of ML models in production, collaborating with ML Ops and engineering teams.
Communicate model results and performance to US-based team members, leadership, and business stakeholders through clear documentation and presentations.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or equivalent quantitative field.
Minimum 3 years experience in Machine Learning domain, preferably in financial services industry.
Proficiency in at least one programming language such as Python or C++ and experience with version control (e.g., Github) and experiment tracking systems (e.g., ML Flow).
Ability to work with model risk, validation, and compliance requirements; excellent oral and written communication skills.
Experienced in ML model development and deployment within regulated or financial domain with demonstrated ownership of end-to-end ML solutions.
Capable of working independently with minimal direction and collaborating across business, risk, and engineering teams.
Comfortable communicating complex technical results to diverse audiences including senior leadership and business stakeholders.