Bank of America
Overview
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 an 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 banks 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 Managerial Responsibilities
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above. Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals. Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement. Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions. Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues. People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance. Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions. Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization. Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work. 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:
Masters degree in related field or equivalent work experience SERA specific description for Talent Acquisition partners
The role is responsible for building data sourcing process, data research and analytics using available tools, support model inputs/calibration data monitoring and develop necessary data or reporting frameworks to support complex modeling projects for specific business units or risk types. This role have a combination of software engineering, big data, modeling and management skills and the ability to work across the entire spectrum of a big data stack from data to logic to model. The role will support and partner with business stakeholders, internal stakeholders, upstream & downstream teams, technology teams, audit teams, regulatory reviews and Model Risk Management. The role will also support data governance, lineage, controls by building, improving and executing data processes. Candidate must be able to communicate across all the stakeholders and partners and the business lines to execute on viable analytical solutions, with a focus on end-user experience and usability. Candidate must be strong in identifying and explaining data quality issues to help achieve successful and validated data for model execution. This individual should feel at ease creating complex SQL queries and extracting large, raw datasets from various sources, merging, and transforming raw data into usable data and analytic structures, and benchmarking results to known. They must feel comfortable with automating repeatable process, generating data insights that are easy for end users to interpret, conduct quantitative analysis, as well as effectively communicate and disseminate findings and data points to stakeholders. They should also have data understanding of loss forecasting for commercial portfolio. The candidate will have experience representing SERA(Scenario & Enterprise Risk Analytics) with critical data stakeholders across the firm, and should demonstrate capacity for strategic leadership. Essential Functions: Data Development & Operations: Research on data requirements, validate the accuracy, completeness, reasonableness, timeliness on the dataset, produce executive level and detailed level data summary and develop desktop procedures for BAU operations. Perform data review and test technology implementation. Produce data summary materials and walk through with data stakeholders by establishing quarterly routines. Should be able to apply CI/CD tools (e.g., Git, JIRA, Confluence, Jenkins etc) part of model development related data process. Data Analytics & Strategy: Analyze the data and provide how granular data movements across history affects the new data results. Find trends of data improvements or areas for improvement. Develops automated data analysis results and answer the common questions to justify the changes in data. Support data analytics and engagement to enhance strategy for the data process across SERA. Model Development Support: Partner with Model Developers and Forecast Admin team in developing and executing commercial model input process with a focus on analysis and reporting capabilities, data procurement, liaising/leading with consultants or extended teammates across the globe, external data providers. Documentation: Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations. Essential Qualifications
Basic Qualifications: Bachelors degree in engineering, data management or analytics, finance or other related field Ten (10) or more years of experience in data development/management and/or statistical and/or and analytics and visualization (intersection with financial services strongly preferred) Understanding of commercial data and its role in risk management Desired Qualifications
Desired Qualifications: Masters degree in data science, engineering, finance or other related field Practical experience with supporting data procurement, development and delivery for regulatory critical processes like CCAR/CECL/IFRS9. Preferred Skills/Experience
Strong technical and visualization skills, with the ability to understand the business goals, needs, and be committed to delivering recommendations that will guide strategic decisions. Deep expertise in SQL, Excel, Python, automation & optimization and project management Knowledge of data architecture concepts, data models, ETL processes Experience in extracting, and combining data across from multiple sources, and aggregate data to support model development Able to partner with teammates across the globe and deliver as a team. Experience in multiple database environment such as Oracle, Hadoop(HDFS, HIVE, Spar) and Teradata Knowledge on Alteryx, Tableau, (knowledge of NLP, data scraping and generative AI welcome) Strong leadership skills and proven ability in motivating employees and promoting teamwork. Deep understanding of how data process works and have the ability to solve dynamically evolving and complex data challenges part of day to day activities Strong documentation & presentation skills to explain the data analysis in a visual and procedural way based on the audience. Excellent interpersonal, management, and teamwork skills. Highly motivated self-starter with excellent time management skills and the ability to effectively manage multiple priorities and timelines. High level of significant independent decision-making ability. Ability to quickly identify risks and determine reasonable solutions. Demonstrated ability to motivate others in a high-stress environment to achieve goal. Ability to effectively communicate and resolve conflicts by both oral and written communication to both internal and external clients. Ability to adapt to a dynamic and evolving work environment. Well-developed analytical and problem-solving skills. Experience and knowledge of the principles and practices of management and employee development. Ability to think critically to solve problems with rational solutions. Ability to react and make decisions quickly under pressure with good judgment. Shift
1st shift (United States of America) Hours Per Week
40 #J-18808-Ljbffr
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 an 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 banks 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 Managerial Responsibilities
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above. Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals. Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement. Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions. Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues. People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance. Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions. Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization. Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work. 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:
Masters degree in related field or equivalent work experience SERA specific description for Talent Acquisition partners
The role is responsible for building data sourcing process, data research and analytics using available tools, support model inputs/calibration data monitoring and develop necessary data or reporting frameworks to support complex modeling projects for specific business units or risk types. This role have a combination of software engineering, big data, modeling and management skills and the ability to work across the entire spectrum of a big data stack from data to logic to model. The role will support and partner with business stakeholders, internal stakeholders, upstream & downstream teams, technology teams, audit teams, regulatory reviews and Model Risk Management. The role will also support data governance, lineage, controls by building, improving and executing data processes. Candidate must be able to communicate across all the stakeholders and partners and the business lines to execute on viable analytical solutions, with a focus on end-user experience and usability. Candidate must be strong in identifying and explaining data quality issues to help achieve successful and validated data for model execution. This individual should feel at ease creating complex SQL queries and extracting large, raw datasets from various sources, merging, and transforming raw data into usable data and analytic structures, and benchmarking results to known. They must feel comfortable with automating repeatable process, generating data insights that are easy for end users to interpret, conduct quantitative analysis, as well as effectively communicate and disseminate findings and data points to stakeholders. They should also have data understanding of loss forecasting for commercial portfolio. The candidate will have experience representing SERA(Scenario & Enterprise Risk Analytics) with critical data stakeholders across the firm, and should demonstrate capacity for strategic leadership. Essential Functions: Data Development & Operations: Research on data requirements, validate the accuracy, completeness, reasonableness, timeliness on the dataset, produce executive level and detailed level data summary and develop desktop procedures for BAU operations. Perform data review and test technology implementation. Produce data summary materials and walk through with data stakeholders by establishing quarterly routines. Should be able to apply CI/CD tools (e.g., Git, JIRA, Confluence, Jenkins etc) part of model development related data process. Data Analytics & Strategy: Analyze the data and provide how granular data movements across history affects the new data results. Find trends of data improvements or areas for improvement. Develops automated data analysis results and answer the common questions to justify the changes in data. Support data analytics and engagement to enhance strategy for the data process across SERA. Model Development Support: Partner with Model Developers and Forecast Admin team in developing and executing commercial model input process with a focus on analysis and reporting capabilities, data procurement, liaising/leading with consultants or extended teammates across the globe, external data providers. Documentation: Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations. Essential Qualifications
Basic Qualifications: Bachelors degree in engineering, data management or analytics, finance or other related field Ten (10) or more years of experience in data development/management and/or statistical and/or and analytics and visualization (intersection with financial services strongly preferred) Understanding of commercial data and its role in risk management Desired Qualifications
Desired Qualifications: Masters degree in data science, engineering, finance or other related field Practical experience with supporting data procurement, development and delivery for regulatory critical processes like CCAR/CECL/IFRS9. Preferred Skills/Experience
Strong technical and visualization skills, with the ability to understand the business goals, needs, and be committed to delivering recommendations that will guide strategic decisions. Deep expertise in SQL, Excel, Python, automation & optimization and project management Knowledge of data architecture concepts, data models, ETL processes Experience in extracting, and combining data across from multiple sources, and aggregate data to support model development Able to partner with teammates across the globe and deliver as a team. Experience in multiple database environment such as Oracle, Hadoop(HDFS, HIVE, Spar) and Teradata Knowledge on Alteryx, Tableau, (knowledge of NLP, data scraping and generative AI welcome) Strong leadership skills and proven ability in motivating employees and promoting teamwork. Deep understanding of how data process works and have the ability to solve dynamically evolving and complex data challenges part of day to day activities Strong documentation & presentation skills to explain the data analysis in a visual and procedural way based on the audience. Excellent interpersonal, management, and teamwork skills. Highly motivated self-starter with excellent time management skills and the ability to effectively manage multiple priorities and timelines. High level of significant independent decision-making ability. Ability to quickly identify risks and determine reasonable solutions. Demonstrated ability to motivate others in a high-stress environment to achieve goal. Ability to effectively communicate and resolve conflicts by both oral and written communication to both internal and external clients. Ability to adapt to a dynamic and evolving work environment. Well-developed analytical and problem-solving skills. Experience and knowledge of the principles and practices of management and employee development. Ability to think critically to solve problems with rational solutions. Ability to react and make decisions quickly under pressure with good judgment. Shift
1st shift (United States of America) Hours Per Week
40 #J-18808-Ljbffr