Bank of America
Sr. Quantitative Finance Analyst, AML Model Risk Validation
Bank of America, Charlotte, North Carolina, United States, 28269
To proceed with your application, you must be at least 18 years of age.
To proceed with your application, you must be at least 18 years of age.
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. 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:
Strong and diversified quantitative skills, possess an advanced degree (PhD or Masters) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields. Required Qualifications: 2+ years of experience and knowledge in building and understanding of Anti-Money Laundering models and systems. Strong familiarity and up-to-date knowledge with industry practices in the field Anti-Money Laundering techniques and typologies. Domain knowledge and familiarity with regulatory landscape including but not limited to model risk management, Anti-money laundering. Proficiency with Above-the Line and Below- the-Line (ATL/BTL) techniques, Sampling methods, AML Coverage Assessments is a plus. Prior experience in model development and/or model validation is a plus. Advanced knowledge and working experience in statistical methods, techniques, and financial data. Proficient in Python, SAS and SQL. Strong written and verbal communication skills and collaboration skills (this role involves communicating with various groups within the firm). Critical thinking and ability to work independently and proactively identify, debate, escalate, suggest, and resolve issues. CAMS certification (preferred) Skills: Critical Thinking Quantitative Development Technical Documentation Problem Solving Data Modeling Data and Trend Analysis Process Performance Measurement Research Preferred Technical Skills: Line of Business (LoB) Products, Services & Acumen Financial Crimes Risk Programs Credible Challenge Regulatory Knowledge Technical Documentation Financial Crimes Compliance Risk Principles Shift: 1st shift (United States of America)
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: 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:
Strong and diversified quantitative skills, possess an advanced degree (PhD or Masters) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields. Required Qualifications: 2+ years of experience and knowledge in building and understanding of Anti-Money Laundering models and systems.
Strong familiarity and up-to-date knowledge with industry practices in the field Anti-Money Laundering techniques and typologies.
Domain knowledge and familiarity with regulatory landscape including but not limited to model risk management, Anti-money laundering.
Proficiency with Above-the Line and Below- the-Line (ATL/BTL) techniques, Sampling methods, AML Coverage Assessments is a plus.
Prior experience in model development and/or model validation is a plus.
Advanced knowledge and working experience in statistical methods, techniques, and financial data.
Proficient in Python, SAS and SQL.
Strong written and verbal communication skills and collaboration skills (this role involves communicating with various groups within the firm).
Critical thinking and ability to work independently and proactively identify, debate, escalate, suggest, and resolve issues.
CAMS certification (preferred)
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
Preferred Technical Skills: Line of Business (LoB) Products, Services & Acumen
Financial Crimes Risk Programs
Credible Challenge
Regulatory Knowledge
Technical Documentation
AML Technical Modelling
Technical Modelling
Financial Crimes Compliance Risk Principles
Model Translation & Articulation
Model Validation & Governance
Shift: 1st shift (United States of America)
Hours Per Week: 40
Pay Transparency details US - NJ - Jersey City - 525 Washington Blvd (NJ2525), US - NJ - Pennington - 1600 American Blvd - Princeton Place At Hopewell Bldg. 6 (NJ2600)Pay and benefits informationPay range$125,000.00 - $210,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
To proceed with your application, you must be at least 18 years of age. To proceed with your application, you must be at least 18 years of age. Age requirement: Must at least be 18 years of age. Jersey City, NJ pay and benefits information Jersey City, NJ pay range: $125,000.00 - $210,000.00annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. New Jersey pay and benefits information New Jersey pay range: $125,000.00 - $210,000.00annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Important notice: You are now leaving a Bank of America website. By clicking
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Continue
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Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. 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:
Strong and diversified quantitative skills, possess an advanced degree (PhD or Masters) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields. Required Qualifications: 2+ years of experience and knowledge in building and understanding of Anti-Money Laundering models and systems. Strong familiarity and up-to-date knowledge with industry practices in the field Anti-Money Laundering techniques and typologies. Domain knowledge and familiarity with regulatory landscape including but not limited to model risk management, Anti-money laundering. Proficiency with Above-the Line and Below- the-Line (ATL/BTL) techniques, Sampling methods, AML Coverage Assessments is a plus. Prior experience in model development and/or model validation is a plus. Advanced knowledge and working experience in statistical methods, techniques, and financial data. Proficient in Python, SAS and SQL. Strong written and verbal communication skills and collaboration skills (this role involves communicating with various groups within the firm). Critical thinking and ability to work independently and proactively identify, debate, escalate, suggest, and resolve issues. CAMS certification (preferred) Skills: Critical Thinking Quantitative Development Technical Documentation Problem Solving Data Modeling Data and Trend Analysis Process Performance Measurement Research Preferred Technical Skills: Line of Business (LoB) Products, Services & Acumen Financial Crimes Risk Programs Credible Challenge Regulatory Knowledge Technical Documentation Financial Crimes Compliance Risk Principles Shift: 1st shift (United States of America)
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: 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:
Strong and diversified quantitative skills, possess an advanced degree (PhD or Masters) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields. Required Qualifications: 2+ years of experience and knowledge in building and understanding of Anti-Money Laundering models and systems.
Strong familiarity and up-to-date knowledge with industry practices in the field Anti-Money Laundering techniques and typologies.
Domain knowledge and familiarity with regulatory landscape including but not limited to model risk management, Anti-money laundering.
Proficiency with Above-the Line and Below- the-Line (ATL/BTL) techniques, Sampling methods, AML Coverage Assessments is a plus.
Prior experience in model development and/or model validation is a plus.
Advanced knowledge and working experience in statistical methods, techniques, and financial data.
Proficient in Python, SAS and SQL.
Strong written and verbal communication skills and collaboration skills (this role involves communicating with various groups within the firm).
Critical thinking and ability to work independently and proactively identify, debate, escalate, suggest, and resolve issues.
CAMS certification (preferred)
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
Preferred Technical Skills: Line of Business (LoB) Products, Services & Acumen
Financial Crimes Risk Programs
Credible Challenge
Regulatory Knowledge
Technical Documentation
AML Technical Modelling
Technical Modelling
Financial Crimes Compliance Risk Principles
Model Translation & Articulation
Model Validation & Governance
Shift: 1st shift (United States of America)
Hours Per Week: 40
Pay Transparency details US - NJ - Jersey City - 525 Washington Blvd (NJ2525), US - NJ - Pennington - 1600 American Blvd - Princeton Place At Hopewell Bldg. 6 (NJ2600)Pay and benefits informationPay range$125,000.00 - $210,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
To proceed with your application, you must be at least 18 years of age. To proceed with your application, you must be at least 18 years of age. Age requirement: Must at least be 18 years of age. Jersey City, NJ pay and benefits information Jersey City, NJ pay range: $125,000.00 - $210,000.00annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. New Jersey pay and benefits information New Jersey pay range: $125,000.00 - $210,000.00annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Important notice: You are now leaving a Bank of America website. By clicking
Continue , you will be taken to a website that is not affiliated with Bank of America and may offer a different privacy policy and level of security. Bank of America is not responsible for and does not endorse, guarantee or monitor content, availability, viewpoints, products or services that are offered or expressed on other websites. Please refer to the website’s posted privacy terms and use. You can click the
Continue
button to proceed or the
Cancel
button to return to the previous page.
#J-18808-Ljbffr