Quant Analytics, Senior Associate - Asset Wealth Management

What you'll do

• Set the data product roadmap, success measures, and delivery plan; coordinate priorities and adoption across business teams.
• Conduct quantitative analyses and provide senior stakeholders with actionable recommendations.
• Integrate and validate data, define shared metrics, and build reusable dashboards and analytics products.

What they ask for

• 3+ years in quantitative analytics, data science, business intelligence, or analytics consulting, delivering insights and analytics products for multiple business teams.
• Quantitative skills in statistics, regression, segmentation or clustering, forecasting, and experimental design.
• Advanced SQL and Python experience with large, multi-source datasets; hands-on dashboard development using Microsoft Power BI and/or Qlik Sense.
• Ability to communicate actionable recommendations to senior stakeholders, manage competing priorities, drive adoption, and apply data governance fundamentals.

Nice to have

• Experience with third-party asset management datasets such as Morningstar, FINTRX, Broadridge, and/or Preqin, or knowledge of asset and wealth management products and distribution.
• Advanced methods such as propensity modeling, next-best-action modeling, causal inference, and/or time-series forecasting; dashboarding and semantic modeling skills are also preferred.

Pay

USD $109,250.00-$165,000.00 base salary (New York, NY); USD $109,250.00-$165,000.00 base salary (Jersey City, NJ)

Tools

SQL, Python, pandas, scikit-learn, statsmodels, Microsoft Power BI, Qlik Sense, Snowflake

AI focus

Shape client data for AI and support responsible AI use cases through trusted data, shared definitions, and certified metrics.