Risk analysis specialist ii - united states, zaranj

job description:

responsible for performing 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 management. reviews and analyzes trends in current population distributions and recommends strategies. may participate in or develop complex program models to extract data and use databases to provide statistical and financial modelling.

overview of global risk analytics
bank of america merrill lynch has an opportunity for a risk analysis specialist ii (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 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) responsible for the curation and provision of granular macroeconomic and industry forecasts that support various bank-wide needs
•    enterprise portfolio analytics (epa) provides portfolio surveillance visualization and analytical tools that supports the enterprise’s risk appetite & limits decisions for the bank's risk and capital frameworks and portfolio management 
•    concentration risk capital provides concentration risk analysis for three european legal entities to support icaap regulatory reporting; as well as benchmark analysis supporting regulatory capital based reporting for various enterprise portfolios 
•    consumer compliance modeling responsible for model development to identify areas of potential compliance risk through fair lending modeling and analyzing customer experience
•    financial crimes modeling & analytics responsible for global financial crimes model development to counter money laundering/terrorist financing, as well as comply with aml, economic sanctions and other relevant regulations
•    industry research perform industry aligned fundamental analysis to support industry-specific macro variable generation, and perform research on relevant sector themes 
•    chief data science organization (cdso) provides data science as a service and manage enterprise information products that support consumer and small business banking, bofa securities, global financial crimes, and other enterprise control functions

overview of the role
as a risk analyst specialist on the compliance modelling & analytics team, your main responsibilities will involve:
•    performing in-depth analysis on the bank’s risk model results using various quantitative tools such as back testing, benchmarking, sensitivity analysis 
•    articulating the overall holistic picture of model performance, with clear conclusions regarding accuracy and remediation areas as required 
•    communicating model results to model stakeholders, including risk management, model development, model risk, senior management, and regulators
•    providing written documentation prior to submission for model validations and required action issue responses
•    supporting model development by confirming remediation of model issues prior to implementation

position 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.

required education, skills, and experience
• experience developing and maintaining complex databases and data sets
• experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
• 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
• 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
• 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
• experience managing large data sets utilizing tools such as hadoop
• experience designing, developing, and applying scalable machine learning and artificial intelligence solutions
• experience as an oracle developer or with oracle database, oracle cloud
• experience with data analytics tools (e.g., alteryx, tableau)
• demonstrated ability to drive action and sustain momentum to achieve results
• ability to work in a large, complex organization, and influence various stakeholders and partners
• identifies, assigns, and manages project tasks and timelines across teams
• effectively creates a compelling story using data; able to make recommendations and articulate conclusions supported by data
• effectively presents findings, data, and conclusions to influence senior leaders
• demonstrated leadership skills; ability to exert broad influence among peers
• experience with engineering complex, multifaceted processes that span across teams; able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• sees the broader picture and is able to identify new methods for doing things
• experience with latex
• strong programming skills such as python, sql or other languages

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 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 management. reviews and analyzes trends in current population distributions and recommends strategies. may participate in or develop complex program models to extract data and use databases to provide statistical and financial modelling.

overview of global risk analytics
bank of america merrill lynch has an opportunity for a risk analysis specialist ii (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 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) responsible for the curation and provision of granular macroeconomic and industry forecasts that support various bank-wide needs
•    enterprise portfolio analytics (epa) provides portfolio surveillance visualization and analytical tools that supports the enterprise’s risk appetite & limits decisions for the bank's risk and capital frameworks and portfolio management 
•    concentration risk capital provides concentration risk analysis for three european legal entities to support icaap regulatory reporting; as well as benchmark analysis supporting regulatory capital based reporting for various enterprise portfolios 
•    consumer compliance modeling responsible for model development to identify areas of potential compliance risk through fair lending modeling and analyzing customer experience
•    financial crimes modeling & analytics responsible for global financial crimes model development to counter money laundering/terrorist financing, as well as comply with aml, economic sanctions and other relevant regulations
•    industry research perform industry aligned fundamental analysis to support industry-specific macro variable generation, and perform research on relevant sector themes 
•    chief data science organization (cdso) provides data science as a service and manage enterprise information products that support consumer and small business banking, bofa securities, global financial crimes, and other enterprise control functions

overview of the role
as a risk analyst specialist on the compliance modelling & analytics team, your main responsibilities will involve:
•    performing in-depth analysis on the bank’s risk model results using various quantitative tools such as back testing, benchmarking, sensitivity analysis 
•    articulating the overall holistic picture of model performance, with clear conclusions regarding accuracy and remediation areas as required 
•    communicating model results to model stakeholders, including risk management, model development, model risk, senior management, and regulators
•    providing written documentation prior to submission for model validations and required action issue responses
•    supporting model development by confirming remediation of model issues prior to implementation

position 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.

required education, skills, and experience
• experience developing and maintaining complex databases and data sets
• experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
• 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
• 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
• 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
• experience managing large data sets utilizing tools such as hadoop
• experience designing, developing, and applying scalable machine learning and artificial intelligence solutions
• experience as an oracle developer or with oracle database, oracle cloud
• experience with data analytics tools (e.g., alteryx, tableau)
• demonstrated ability to drive action and sustain momentum to achieve results
• ability to work in a large, complex organization, and influence various stakeholders and partners
• identifies, assigns, and manages project tasks and timelines across teams
• effectively creates a compelling story using data; able to make recommendations and articulate conclusions supported by data
• effectively presents findings, data, and conclusions to influence senior leaders
• demonstrated leadership skills; ability to exert broad influence among peers
• experience with engineering complex, multifaceted processes that span across teams; able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• sees the broader picture and is able to identify new methods for doing things
• experience with latex
• strong programming skills such as python, sql or other languages

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 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 management. reviews and analyzes trends in current population distributions and recommends strategies. may participate in or develop complex program models to extract data and use databases to provide statistical and financial modelling.

overview of global risk analytics
bank of america merrill lynch has an opportunity for a risk analysis specialist ii (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 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) responsible for the curation and provision of granular macroeconomic and industry forecasts that support various bank-wide needs
•    enterprise portfolio analytics (epa) provides portfolio surveillance visualization and analytical tools that supports the enterprise’s risk appetite & limits decisions for the bank's risk and capital frameworks and portfolio management 
•    concentration risk capital provides concentration risk analysis for three european legal entities to support icaap regulatory reporting; as well as benchmark analysis supporting regulatory capital based reporting for various enterprise portfolios 
•    consumer compliance modeling responsible for model development to identify areas of potential compliance risk through fair lending modeling and analyzing customer experience
•    financial crimes modeling & analytics responsible for global financial crimes model development to counter money laundering/terrorist financing, as well as comply with aml, economic sanctions and other relevant regulations
•    industry research perform industry aligned fundamental analysis to support industry-specific macro variable generation, and perform research on relevant sector themes 
•    chief data science organization (cdso) provides data science as a service and manage enterprise information products that support consumer and small business banking, bofa securities, global financial crimes, and other enterprise control functions

overview of the role
as a risk analyst specialist on the compliance modelling & analytics team, your main responsibilities will involve:
•    performing in-depth analysis on the bank’s risk model results using various quantitative tools such as back testing, benchmarking, sensitivity analysis 
•    articulating the overall holistic picture of model performance, with clear conclusions regarding accuracy and remediation areas as required 
•    communicating model results to model stakeholders, including risk management, model development, model risk, senior management, and regulators
•    providing written documentation prior to submission for model validations and required action issue responses
•    supporting model development by confirming remediation of model issues prior to implementation

position 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.

required education, skills, and experience
• experience developing and maintaining complex databases and data sets
• experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
• 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
• 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
• 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
• experience managing large data sets utilizing tools such as hadoop
• experience designing, developing, and applying scalable machine learning and artificial intelligence solutions
• experience as an oracle developer or with oracle database, oracle cloud
• experience with data analytics tools (e.g., alteryx, tableau)
• demonstrated ability to drive action and sustain momentum to achieve results
• ability to work in a large, complex organization, and influence various stakeholders and partners
• identifies, assigns, and manages project tasks and timelines across teams
• effectively creates a compelling story using data; able to make recommendations and articulate conclusions supported by data
• effectively presents findings, data, and conclusions to influence senior leaders
• demonstrated leadership skills; ability to exert broad influence among peers
• experience with engineering complex, multifaceted processes that span across teams; able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• sees the broader picture and is able to identify new methods for doing things
• experience with latex
• strong programming skills such as python, sql or other languages
shift:

1st shift (united states of america)

hours per week: 

40

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