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Overview of Global Risk Analytics
Bank of America Merrill Lynch has an opportunity for a Quantitative Finance Analyst within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all of these activities.
Treasury Analytics Quantitative Team is part of Global Risk Analytics (GRA). The team is staffed by analysts who apply an extensive set of quantitative methods for effective asset liability management
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 modeldevelopment/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 ofdevelopment/validationprojects 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
Responsible for independently conducting quantitative analytics and modeling projects
Responsible for developing new models, analytic processes or systems approaches
Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
Research and apply quantitative techniques in financial mathematics, applied mathematics and statistics to enhance forecasting for risk measurement and asset liability management
Design and build econometric behavioral models pricing and valuation tools, for mortgage backet securities, loans and a variety of deposit products on the bank’s balance sheet
Responsible for technical documentation, model implementation, data management, model analysis, model performance monitoring. Contribute to process improvement and automation across all of these activities
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 Qualifications:
Working knowledge of risk or pricing models for fixed income or commodity products
Understanding of regulatory capital and risk management framework and stress testing requirement
Solid working experience in a related field (Market Risk, Middle Office)
Expertise in Statistical Programming Software such as R, and experience in data analysis
Proven programming skills (Python, C++, SQL, or equivalent object-oriented programming) to write reusable and testable code to develop tools and improve process efficiency for reporting and calculation automation
Pro-active behavior with capacity to seize initiative
Good written and oral communication, interpersonal and organizational skills and ability to build and maintain relationships with personnel across areas and regions
Ability to multitask with excellent time management skills
Possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products
Strong skills/intuition in Economics and Finance
Ability to work individually and with the group on complex problem solving; analytical skills, critical thinking with a strong desire to learn
Strong attention to detail, excellent communication skills and ability to work well in a cooperative, time-sensitive, market-driven environment
Ability to manage multiple priorities with minimal supervision
Desired Qualifications:
Strong academic background in econometrics or statistics (M.S. or PhD in a STEM/Economics field)
Experience with computational and simulation methods
Places value on process automation with an eye for reproducibility of results
Experience working with Unix/Linux environment
Past experience in Interbank Offering Rate(IBOR) transition/ Fundamental Review of the Trading Book (FRTB) is a plus
Master’s degree in related field or equivalent work experience
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