Sr Quantitative Finance Analyst in USA
Job title: Sr Quantitative Finance Analyst in USA at Bank of America
Company: Bank of America
Job description: 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. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 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
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
Minimum Education Requirement: Master’s degree in related field or equivalent work experienceRequired 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 CommunicationsRequired Minimum Qualifications:
Ability to work in a large, complex organization, and influence various stakeholders and partners
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
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
Ability to work in a highly controlled and audited environment
Effective at prioritization, and time and project management
Strong Programming skills e.g. R, Python, SAS, SQL, R or other languages
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
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
Effective at prioritization/time and project management
Broad understanding of financial products
Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
Demonstrated ability to drive action and sustain momentum to achieve results
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
Certified Anti-Money Laundering Specialist (CAMS) certification
Education:
Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
5+ years of experience in model development, statistical work, data analytics or quantitative research
Shift: 1st shift (United States of America)Hours Per Week: 40Pay Transparency detailsUS - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)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.
Expected salary:
Location: USA
Job date: Sun, 20 Apr 2025 06:41:26 GMT
Apply for the job now!
Apply Now
Company: Bank of America
Job description: 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. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 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
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
Minimum Education Requirement: Master’s degree in related field or equivalent work experienceRequired 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 CommunicationsRequired Minimum Qualifications:
Ability to work in a large, complex organization, and influence various stakeholders and partners
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
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
Ability to work in a highly controlled and audited environment
Effective at prioritization, and time and project management
Strong Programming skills e.g. R, Python, SAS, SQL, R or other languages
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
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
Effective at prioritization/time and project management
Broad understanding of financial products
Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
Demonstrated ability to drive action and sustain momentum to achieve results
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
Certified Anti-Money Laundering Specialist (CAMS) certification
Education:
Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
5+ years of experience in model development, statistical work, data analytics or quantitative research
Shift: 1st shift (United States of America)Hours Per Week: 40Pay Transparency detailsUS - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)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.
Expected salary:
Location: USA
Job date: Sun, 20 Apr 2025 06:41:26 GMT
Apply for the job now!
Apply Now