מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
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
Minimum Education Requirement:Master’s degree in related field or equivalent work experience
• Review and validate fraud prevention and detection models for conceptual soundness and quantitative rigor to ensure they follow good modeling practices and Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
• Develop testing or alternative models by applying statistical or quantitative analysis, leveraging a variety of software programs, including R, SAS, Python, etc.
• Present model validation results in structured and comprehensive reports, including the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment, and Ongoing Monitoring Report reviews.
• Partner closely and manage interactions with business, model developers, risk and audit partners across the model lifecycle and validation processes.
• Advanced quantitative degree (PhD or MS in statistics, math, physics, computer science, etc.) with 5+ years of hands-on model development or validation
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
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