Senior Quantitative Risk Analyst: Credit Modeling

Bank of America; Newark (DE); Presencial; USD 90 000 - 155 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Discretionary incentive eligible

Industry-leading benefits

Resumo da oferta

Bank of America seeks a Quantitative Finance Analyst to conduct quantitative analytics and modeling for risk types across business units. You’ll develop models, document technical work, and collaborate with Technology to design systems for running models.

A broad knowledge of financial markets and products is essential. Responsibilities include end-to-end market risk stress testing, model development, and communicating results to senior stakeholders.

Qualificações

• Master’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline.
• 5+ years professional experience developing credit risk models.
• Strong programming skills e.g. R, Python, SAS, SQL or other languages.
• Strong analytical and problem-solving skills.
• Experience using and developing cross-sectional models.
• Experience implementing models into various production environments.
• Effective storytelling with data; able to make evidence-based recommendations.
• Ability to influence senior leaders with findings.
• Demonstrated leadership and ability to influence peers.
• Ability to work in a large organization with multiple stakeholders.
• Self-starter; Initiates work independently.
• Team player and collaborative, knows when to involve others.
• Strong communication for quantitative topics to technical and non-technical audiences.
• Work in highly controlled and audited environment.
• Prioritization and project management.
• Strategic thinker understanding complex business challenges.
• Experience with data architecture, modeling, data science tools, data warehouses, and ML.
• Ability to extract, analyze, and merge data from disparate systems.
• Experience developing/maintaining complex databases and data sets.
• Experience using data mining and advanced analytics for model development or reporting.
• Experience managing large data sets with Hadoop.
• Experience designing scalable ML/AI solutions.
• Experience with data analytics and visualization tools (Alteryx, Tableau, MicroStrategy).
• Experience with LaTeX.
• Experience building data architecture optimized for large dataset retrieval.
• Demonstrated ability to drive action and momentum.
• Identifies, assigns, and manages project tasks across teams.
• Experience engineering complex processes spanning teams; document steps and improve workflow.

Responsabilidades

• 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 understand key drivers.
• Supports the planning related to setting quantitative work priorities in line with the bank’s strategy.
• Identifies continuous improvements through reviews of model development/validation tasks and documentation.
• Supports model development and model risk management to meet business requirements and risk appetite.
• Provides methodological, analytical, and technical guidance to shape strategy and project direction.
• Collaborates with model stakeholders and senior management on submission and validation outcomes.
• Performs statistical analysis on large datasets and interprets results using qualitative and quantitative approaches.
• Development of wholesale credit risk models including loss forecasting, scorecards, behavioral score, regulatory capital models.
• Executes in-depth analysis of wholesale credit performance and financial data.
• Prepares white papers for developed models.
• Interacts with internal model risk management and remediates model findings.
• Supports post-implementation monitoring and may conduct independent quantitative analytics and complex modeling projects.

Conhecimentos

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Data Modeling

Data and Trend Analysis

Process Performance Measurement

Research

Written Communications

Formação académica

Master’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline

Ferramentas

R

Python

SAS

SQL

LaTeX

Hadoop

Tableau

Alteryx

Data Warehouses

Machine Learning

Descrição da oferta de emprego

Bank of America seeks a Quantitative Finance Analyst to conduct quantitative analytics and modeling for risk types across business units. You’ll develop models, document technical work, and collaborate with Technology to design systems for running models.

A broad knowledge of financial markets and products is essential. Responsibilities include end-to-end market risk stress testing, model development, and communicating results to senior stakeholders.