Risk Analysis Specialist Risk Analysis Specialist …

Bank of America Merrill Lynch
in Jersey City, NJ, United States
Permanent, Full time
Be the first to apply
Competitive
Bank of America Merrill Lynch
in Jersey City, NJ, United States
Permanent, Full time
Be the first to apply
Competitive
Risk Analysis Specialist
Job Description:

Overview of Global Risk Analytics
Bank of America has an opportunity for a Risk Analysis Specialist I (B5) 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.

Overview of the Role
As a Risk Analysis Specialist within the Global Risk Analytics teams, your main responsibilities will involve:
  • Conducting model performance testing, monitoring and data quality assessment
  • Undertaking analytical research on model outcome and testing results
  • Developing model performance monitoring technical documentation
  • Executing project plans with teammates in GRA, technology, and finance
  • Proactively identifying risks and improvements to existing processes and technology architecture
  • Effectively communicating analytical and research results as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, and technology

Required Education, Skills, and Experience
• BS/Masters in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline
• 2+ years professional experience
• Strong analytical and problem-solving skills
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Effective at prioritization, and time and project management
• Ability to work in a large, complex organization, and with various stakeholders and partners

Desired Skills and Experience
• Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Strong programming skills, e.g. SAS, SQL, Python, R, or similar language
• Experience with data analytics tools (e.g., Alteryx, Tableau, MicroStrategy)
• Identifies, assigns, and manages project tasks and timelines across teams
• Effectively presents findings, data, and conclusions to influence senior leaders
• Sees the broader picture and is able to identify new methods for doing things
• Experience with LaTeX
.
Enterprise Role Overview
Responsible for performing more complex analysis and is engaged in the development of modeling that maximizes profits and asset growth and minimizes credit and operating losses and other risk exposures. Provides analytical support on various product strategies to ensure company goals are met. Coordinates the production of performance reports for Senior mgt. Reviews and analyzes trends in current population distributions and recommends strategies. May participate in or develop more complex program models to extract data and use databases to provide statistical and financial modeling. Analyzes portfolio trends, concerning credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria. Will participate in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion and independent judgment. Programming experience such as SAS, SQL or Micro Strategy and Master's Degree or large data experience preferred. 2-5 year experience..

Shift:
1st shift (United States of America)

Hours Per Week:
40
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