AVP, Business Solutions & Risk
Core
Define and refine business needs for senior Front Office stakeholders, translating investment questions into quantitative models and overseeing their design, implementation, and validation.
Role type
Senior IC quantitative analyst (asset management)
Builds
Quantitative models, datasets, and analytical workflows for research and investment activities
Domain
Asset management and quantitative research
Deliverable
production ML models
Required skills
Python, SQL, data modeling, backtesting, data visualization, AI/ML techniques, statistical inference, time-series analysis
Preferred skills
CFA, FRM, data engineering practices
Technologies
Python, SQL, Tableau, Databricks
Responsibilities
Engage with senior Front Office stakeholders to define business needs; Build and improve quantitative models for research and trading; Manage data sourcing, structuring, and integration; Develop and backtest models using Python and SQL; Utilize data visualization tools for communication; Support model validation and AI/ML implementation; Collaborate with cross-departmental partners to deliver capabilities.
Seniority
Senior, hands-on IC