Sr. Quantitative Finance Analyst

Responsibilities

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• Leads the 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, critical feedback on technical documentation, and effective challenges on model development/validation
• Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Requirements

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• Led the 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, critical feedback on technical documentation, and effective challenges on model development/validation
• Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, Business, or related field. Alternatively, a bachelor’s degree in a technical field (i.e: engineering, computer science, mathematics, statistics, etc.) and a demonstrated interest in finance and markets.
• Masters in one of the aforementioned subjects a plus.
• Progress toward (or completion of) CFA a plus.
• Ability to identify key industry drivers, excellent quantitative skills and judgment in the field of research.
• Prior experience in a research-orientated role (e.g. Equity, Credit) is a plus.
• The candidate must be able to thrive in a fast-paced and intense environment, be intellectually curious about drivers of the economy, industry & company performance and consumer behavior.
• Strong economic and financial skills and a keen interest in markets, some experience in investment strategy is a plus.
• Strong writing and spreadsheet skills.
• Must be an expert in MS Excel, experience working with statistical packages and/or programming experience preferred.
• Must have excellent communication skills, written and verbal.
• Must have strong attention to detail, ability to multi-task.
• Must work well in a collaborative team environment and be exceptionally driven.
• Some knowledge of Tableau, SQL, Python.
• Good understanding of current US regulatory environment, including but not limited to CECL and CCAR.

Skills

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Data Modeling
• Data and Trend Analysis
• Process Performance Measurement
• Research
• Written Communications