Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk. Lead, guide and educate junior data scientists.
Compensation
To comply with the Virginia pay transparency statute and for work locations in Virginia only, the annual base salary for this position is $130,000-$140,000.
Responsibilities
Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics) on structured and unstructured data.
Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities.
Requirements
Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
Nice to have: Master’s degree or PhD in a quantitative field
Responsible for conducting quantitative analytics and modeling projects for specific business units or risk types within Global Risk Analytics, developing models, processes, and documentation to support risk and capital management.
Locations (3)
Charlotte, United States
Chicago, Illinois, United States
Jersey City, New Jersey, United States
Compensation
$89,800.00 - $151,200.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan.
Responsibilities
Performs end-to-end market risk stress testing including scenario design, implementation, results consolidation, internal and external reporting, and analyzes stress scenario results
Supports planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports methodological, analytical, and technical guidance to influence strategic direction and tactical approaches of development/validation projects
Requirements
Master’s degree in Math, Economics, Statistics, or similar discipline
PhD in Math, Economics, Statistics, or similar discipline
