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Risk Analysis Specialist I

Employer
Merrill Lynch
Location
Illinois Medical District, Illinois, United States
Closing date
Dec 26, 2021

View more

Job Role
Risk Manager
Sector
Finance
Contract Type
Permanent
Hours
Full Time
Job Description:

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 senior management. 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. Overview of Global Risk Analytics
;Bank of America Merrill Lynch 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. 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 Team
Overview of Enterprise Risk Analytics
As a part of Global Risk Analytics (GRA), Enterprise Risk Analytics (ERA) is responsible for the development of cross-business holistic analytical models and tools. ERA consists of the following teams:
• Economic Scenario Generation (ESG) provides consistent and granular scenario generation capabilities for economic and market variables that enable multiple "what-if" outcomes for government regulators and other business uses.
• Enterprise Portfolio Analytics (EPA) provides portfolio surveillance visualization tools, utilizing advanced analytics (artificial intelligence/machine learning/natural language processing), to provide decision making support around the credit cycle, geo-intelligence, and thematic "what-if" analyses. EPA's tools also support Enterprise strategic risk appetite and limits decisions for the bank's risk and capital frameworks.
• Concentration Risk provides capital estimates to support annual regulatory requirements and legal entity-level capital management using tools and techniques focused on identification, measurement, and mitigation of concentration risks across countries, regions, sectors, and industries.
• Enterprise Capital Risk Analytics manages model performance monitoring and capital model issue resolution.
• Compliance Modelling & Analytics supports Enterprise needs around Fair Lending and Global Financial Crimes Compliance.
• Central Quantitative Group (CQG) provides sophisticated quantitative solutions for ERA clients. The group often partners with other teams within and outside GRA to provide these solutions

Overview of the Role
As a Risk Analyst Specialist on the Compliance Modelling & Analytics team, your main responsibilities will involve:
• Duties primarily include the regular use of discretion and independent judgment.
• Assists with developing business understanding (including organizational structure, knowledge of Business Unit goals & objectives, financials, products, coverages, systems and processes)
• Participates in discussions with Business Units to develop requirements and clarify expectations.
• Develops Project Plan and documents important project information.
• Develops and manages schedule to insure timely completion of project(s).
• Monitors and summarizes project status.
• Develops relationships and ensures frequent and effective communication between all project team members including stakeholders and key resources and senior management

Position Overview
This role will rely heavily on risk analytics combined with project management experience and knowledge to work with Front Line Units, our Data & Technology Teams and Modelers to understand business challenges and opportunities to implement actionable insights. Lead cross functional projects critical to organization's performance and progress. Identifying key project risks and issues and leveraging business partnerships to identify resolution strategy and escalate to Senior Management in a timely and effective manner.

Required Education, Skills, and Experience
Minimum of 5 years relevant experience in project management or risk management with a focus on data and or model development
• Experience developing and maintaining complex databases and data sets
• Experience in project management and navigating through diverse project management methodologies (MDLC; SDLC; Waterfall; Agile)
• Experience with JIRA and/or other Project Management Tracking tools
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication; skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Strong analytical and problem-solving skills

Desired Skills and Experience

• Prior experience in a risk consulting or auditing background will be preferred
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Experience using data mining and other advanced analytical techniques to aggregate data for model development and/or to produce management reporting
• Experience with data visualization tools (Tableau)
• Project Management Certification (i.e. PMP or other Certificates related to Project Management)
• Experience with data analytics tools (e.g., Alteryx, Tableau)
• Demonstrated ability to drive action and sustain momentum to achieve results

Programming experience and relevant degree or large data experience required.

Job Band:
H5

Shift:
1st shift (United States of America)

Hours Per Week:
40

Weekly Schedule:

Referral Bonus Amount:
0

Job Description:

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 senior management. 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. Overview of Global Risk Analytics
;Bank of America Merrill Lynch 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. 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 Team
Overview of Enterprise Risk Analytics
As a part of Global Risk Analytics (GRA), Enterprise Risk Analytics (ERA) is responsible for the development of cross-business holistic analytical models and tools. ERA consists of the following teams:
• Economic Scenario Generation (ESG) provides consistent and granular scenario generation capabilities for economic and market variables that enable multiple "what-if" outcomes for government regulators and other business uses.
• Enterprise Portfolio Analytics (EPA) provides portfolio surveillance visualization tools, utilizing advanced analytics (artificial intelligence/machine learning/natural language processing), to provide decision making support around the credit cycle, geo-intelligence, and thematic "what-if" analyses. EPA's tools also support Enterprise strategic risk appetite and limits decisions for the bank's risk and capital frameworks.
• Concentration Risk provides capital estimates to support annual regulatory requirements and legal entity-level capital management using tools and techniques focused on identification, measurement, and mitigation of concentration risks across countries, regions, sectors, and industries.
• Enterprise Capital Risk Analytics manages model performance monitoring and capital model issue resolution.
• Compliance Modelling & Analytics supports Enterprise needs around Fair Lending and Global Financial Crimes Compliance.
• Central Quantitative Group (CQG) provides sophisticated quantitative solutions for ERA clients. The group often partners with other teams within and outside GRA to provide these solutions

Overview of the Role
As a Risk Analyst Specialist on the Compliance Modelling & Analytics team, your main responsibilities will involve:
• Duties primarily include the regular use of discretion and independent judgment.
• Assists with developing business understanding (including organizational structure, knowledge of Business Unit goals & objectives, financials, products, coverages, systems and processes)
• Participates in discussions with Business Units to develop requirements and clarify expectations.
• Develops Project Plan and documents important project information.
• Develops and manages schedule to insure timely completion of project(s).
• Monitors and summarizes project status.
• Develops relationships and ensures frequent and effective communication between all project team members including stakeholders and key resources and senior management

Position Overview
This role will rely heavily on risk analytics combined with project management experience and knowledge to work with Front Line Units, our Data & Technology Teams and Modelers to understand business challenges and opportunities to implement actionable insights. Lead cross functional projects critical to organization's performance and progress. Identifying key project risks and issues and leveraging business partnerships to identify resolution strategy and escalate to Senior Management in a timely and effective manner.

Required Education, Skills, and Experience
Minimum of 5 years relevant experience in project management or risk management with a focus on data and or model development
• Experience developing and maintaining complex databases and data sets
• Experience in project management and navigating through diverse project management methodologies (MDLC; SDLC; Waterfall; Agile)
• Experience with JIRA and/or other Project Management Tracking tools
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication; skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Strong analytical and problem-solving skills

Desired Skills and Experience

• Prior experience in a risk consulting or auditing background will be preferred
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Experience using data mining and other advanced analytical techniques to aggregate data for model development and/or to produce management reporting
• Experience with data visualization tools (Tableau)
• Project Management Certification (i.e. PMP or other Certificates related to Project Management)
• Experience with data analytics tools (e.g., Alteryx, Tableau)
• Demonstrated ability to drive action and sustain momentum to achieve results

Programming experience and relevant degree or large data experience required.

Job Band:
H5

Shift:
1st shift (United States of America)

Hours Per Week:
40

Weekly Schedule:

Referral Bonus Amount:
0

Job Description: 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 senior management. 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. Overview of Global Risk Analytics
;Bank of America Merrill Lynch 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. 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 Team
Overview of Enterprise Risk Analytics
As a part of Global Risk Analytics (GRA), Enterprise Risk Analytics (ERA) is responsible for the development of cross-business holistic analytical models and tools. ERA consists of the following teams:
• Economic Scenario Generation (ESG) provides consistent and granular scenario generation capabilities for economic and market variables that enable multiple "what-if" outcomes for government regulators and other business uses.
• Enterprise Portfolio Analytics (EPA) provides portfolio surveillance visualization tools, utilizing advanced analytics (artificial intelligence/machine learning/natural language processing), to provide decision making support around the credit cycle, geo-intelligence, and thematic "what-if" analyses. EPA's tools also support Enterprise strategic risk appetite and limits decisions for the bank's risk and capital frameworks.
• Concentration Risk provides capital estimates to support annual regulatory requirements and legal entity-level capital management using tools and techniques focused on identification, measurement, and mitigation of concentration risks across countries, regions, sectors, and industries.
• Enterprise Capital Risk Analytics manages model performance monitoring and capital model issue resolution.
• Compliance Modelling & Analytics supports Enterprise needs around Fair Lending and Global Financial Crimes Compliance.
• Central Quantitative Group (CQG) provides sophisticated quantitative solutions for ERA clients. The group often partners with other teams within and outside GRA to provide these solutions

Overview of the Role
As a Risk Analyst Specialist on the Compliance Modelling & Analytics team, your main responsibilities will involve:
• Duties primarily include the regular use of discretion and independent judgment.
• Assists with developing business understanding (including organizational structure, knowledge of Business Unit goals & objectives, financials, products, coverages, systems and processes)
• Participates in discussions with Business Units to develop requirements and clarify expectations.
• Develops Project Plan and documents important project information.
• Develops and manages schedule to insure timely completion of project(s).
• Monitors and summarizes project status.
• Develops relationships and ensures frequent and effective communication between all project team members including stakeholders and key resources and senior management

Position Overview
This role will rely heavily on risk analytics combined with project management experience and knowledge to work with Front Line Units, our Data & Technology Teams and Modelers to understand business challenges and opportunities to implement actionable insights. Lead cross functional projects critical to organization's performance and progress. Identifying key project risks and issues and leveraging business partnerships to identify resolution strategy and escalate to Senior Management in a timely and effective manner.

Required Education, Skills, and Experience
Minimum of 5 years relevant experience in project management or risk management with a focus on data and or model development
• Experience developing and maintaining complex databases and data sets
• Experience in project management and navigating through diverse project management methodologies (MDLC; SDLC; Waterfall; Agile)
• Experience with JIRA and/or other Project Management Tracking tools
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication; skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Strong analytical and problem-solving skills

Desired Skills and Experience

• Prior experience in a risk consulting or auditing background will be preferred
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Experience using data mining and other advanced analytical techniques to aggregate data for model development and/or to produce management reporting
• Experience with data visualization tools (Tableau)
• Project Management Certification (i.e. PMP or other Certificates related to Project Management)
• Experience with data analytics tools (e.g., Alteryx, Tableau)
• Demonstrated ability to drive action and sustain momentum to achieve results

Programming experience and relevant degree or large data experience required. Shift:
1st shift (United States of America)
Hours Per Week:
40

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