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Job Description:
Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.
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
Supports 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
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the 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
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
Required Education, Skills, and Experience
Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD
Strong Programming skills e.g. R, Python, SAS, SQL or other languages
Strong analytical and problem-solving skills
Desired Skills and Experience:
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
Experience with large data sets
Effective at prioritization/time and project management
Broad understanding of financial products
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