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Job Description:
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:
Leads the development of AML models to support business requirements and the enterprise's risk appetite collaborating with the Technology, Global Financial Crimes, and Model Risk Management teams
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
Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.
As a part of Global Risk Analytics, Global Financial Crimes Modeling and Analytics is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems. The Global Financial Crimes Modeling and Analytics team is made up of nine sub-teams:
7) Research and Development is responsible for future thinking concepts, innovation coordination, tools and technique assessment, artificial intelligence oversight, and vendor assessment oversight.
Overview of Role:
Responsible for independently conducting quantitative analytics and modeling projects.
Responsible for developing new models, analytic processes or systems approaches.
Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
Supports 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
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the 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
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. Python, SAS, SQL, or other languages
Strong analytical and problem-solving skills
Required Education and Work Experience:
Master’s degree in related field or equivalent work experience
3+ years (2+ years with a PhD) of experience in model development, statistical work, data analytics or quantitative research
5+ years of leadership and/or management experience
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Job Description:
Job Description:
This job is responsible for supporting a cluster of financial centers in designated markets in the absence of the assigned financial center manager and as a market-level resource. Key responsibilities include managing as a business owner, fostering a team environment, and instilling an effective client-centric and risk culture. Job expectations include driving operational excellence, ensuring that all aspects of the financial center run effectively and cohesively.
Responsibilities:
• Operates as a back up financial center leader within a market
• Manages client traffic, engaging and appropriately routing clients, and fostering client retention
• Manages business results through formalized management routines and coaching
• Creates a world class client experience environment
• Manages market-level initiative prescribed by market leaders
• Drives operational excellence
Required Qualifications:
• 1+ years leadership experience demonstrated through one or a combination of the following: coaching, training, or motivating a diverse work team
• Demonstrated ability to influence and collaborate with others outside of reporting authority to achieve shared goals
• Proven customer service skills and the ability to resolve problems independently or escalate as needed to promote customer satisfaction
• Strong financial and business acumen including experience in leading managers and interpreting financial reports to drive profitability
• Proven record of balancing risk and making sound decisions while achieving business goals
• Strong interpersonal skills, including the ability to easily engage others in dialogue, convey sincere interest in building/deepening relationships, and demonstrate a commitment to providing personalized service
• Strong organizational skills including the ability to manage multiple responsibilities, prioritize and delegate while delivering results
• Strong communication skills (including verbal, non-verbal, written and presentation) and active listening skills
• Proficiency in computer skills and professional programs (for example, Microsoft Office)
• Availability to work weekends and/or extended hours as required to run the business
• Must be able to travel to any financial center within the defined market
Desired Qualifications:
• 1+ years management experience including hiring, coaching, and developing direct reports
• Experience in the following industries: Consumer banking/financial services, mortgage, retail or hospitality
• Bachelor’s Degree in related field
• Bilingual (fluent verbal and written)
• Customer Service Management
• Performance Management
• Coaching
• Customer and Client Focus
• Talent Development
• Risk Management
• Sales Performance Management
• Business Operations Management
• Recruiting
• Result Orientation
• Referral Management
• Leadership Development
• Inclusive Leadership
• Prioritization
• Problem Solving
Minimum Education Requirement:
• High School Diploma / GED / Secondary School or equivalent
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Job Description:
This job is responsible for providing advice and valuable financial solutions to complex Global Commercial Banking clients and prospects. Key responsibilities include serving as the primary point of contact or trusted advisor and acquiring, deepening, and maintaining profitable relationships, collaborating with teammates, and facilitating client relationships with Product Specialists. Job expectations include having knowledge of the bank's products and services in order to identify business development, cross-selling opportunities for new and existing clients as well as focusing on overall client satisfaction.
Responsibilities:
Skills:
Required Qualifications:
Desired Skills:
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This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.
Responsibilities:
Skills:
Required Education, Skills, and Experience
• Bachelor’s degree with a quantitative emphasis in areas such as mathematics, engineering, or computer science
• Proven programming skills (Python, C++, SQL, or equivalent object-oriented programming), with relevant industry experience
• Ability to work well within a team based development environment
• Can effectively use modern software development and lifecycle tools enabling strong source control and code review
• Strong problem solving skills with the ability to tackle issues independently
• Ability to get to grips with a large and complicated systems
• Great communication skills, including the ability to write clear and concise documentation
• A team player who can work in well with existing systems while still finding a way to impart a personal style
Desired Skills and Experience
• Process automation experience a plus
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Responsibilities:
Manages the end-to-end client journey to deliver on client needs and drive sales opportunities while mitigating risk
Identifies and refers specialized small business opportunities and solutions to clients while conducting small business relationship reviews
Delivers a branded customer experience within aligned sales portfolios by being in the field a minimum of 80% of the time
Fosters relationships with key partners such as Merchant, Practice Solutions, Treasury, and Business Banking to increase small business opportunities
Leverages knowledge of credit to advise small business owners on solutions, services, and digital capabilities that help them meet their short and long-term business goals
Supports execution of the sales delivery model to achieve targeted performance and growth of the bank's Small Business segment
Coaches, develops, guides, and delivers feedback to associates and clients while embodying a client and employee-centric culture
Required Qualifications:
Proven success in consultative sales in financial services or in business-to-business sales
Ability to demonstrate examples of improving specific businesses financial outcomes by interpreting financial statements and recommending specific levers
Is passionate about outside sales and enjoys spending time prospecting
Wants to enhance existing relationships and exceed sales goals
Can analyze financial conditions of clients and industry trends
Can understand and interpret financial statements and cash flow analysis
Has excellent communication skills and demonstrated leadership ability
Enjoys partnering and negotiating with a team of bank employees to solve client issues
Demonstrated management of a client portfolio with focus on relationship development and deepening
Thorough knowledge of small business financial products and services
Familiarity with CRM platforms and other banking systems
Desired Qualifications:
Community leadership
Strong computer skills with an ability to multitask in a demanding environment
Undergraduate degree in business, finance or economics preferred or seven years relevant work experience
Skills:
Client Experience Branding
Client Management
Client Solutions Advisory
Customer and Client Focus
Pipeline Management
Credit Documentation Requirements
Financial Analysis
Oral Communications
Prioritization
Written Communications
Coaching
Interpret Relevant Laws, Rules, and Regulations
Prospecting
Risk Management
Minimum Education Requirement:
High School Diploma/GED or equivalent work experience
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Job Description:
Job Description:
Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementof common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over
Responsibilities:
Seek opportunities for consistent improvement in quality, efficiency, and processes
Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance
Provide leadership and oversight to less experienced team members
Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
Understanding financial data: schemas, flow, size, data issues, data controls, etc.
Building performant big data pipelines
Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
Think outside the box of current industry standards to develop innovative approaches
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Source and evaluate data required for modeling and testing
Design and develop and implement models and tests
Produce clear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes
Candidates should have the following technical skills:
Software engineering: modular code, software lifecycle processes, unit testing, regression testing
Big data: distributed computing paradigms (e.g.,mapreduce,dataframes,etc.), optimizing distributed software
Modeling / quantitative: basic modeling techniques (regression, classification, clustering,etc.
Soft Skills:
High level of intellectual curiosity
Experience implementing strategic process improvements and/or automation
Proven track record of building relationships and effectively influencing key stakeholders
Adept at detecting and remediating organizational / process weaknesses and deficiencies
Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines
Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences
Well organized with attention to detail
Willing to challenge the status quo and with a track record of driving change
Minimum Education Requirement:
Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
7+ years of relevant work experience
Qualifications:
At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries
Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
Proven track record of seamlessly leading and executing enterprise-wide initiatives
The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators
Strong analytical and problem-solving skills
Candidates should have at least three of the following skills:
Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
Experience with large scale data sets with structured or unstructured data
Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
Experience implementing process improvements and automation
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Job Description:
The Information Security Officer will be a member of the Business Information Security Officer's (BISO) organization and work closely with the line of business Front Line Units (FLU) / CIO executives. In this role, you will be supporting a group/team to develop a deep understanding of the business in order to have specialized information security risk-based discussions. This relationship will ensure a focus on the right risk priorities. You will also provide guidance on information security topics, policies and controls.Scale/Scope
• Contribute to the ongoing information security initiatives and improvements development, implementation and maintenance of information security for FLU/Ops
• Serves as an Information Security subject matter expert and participates in the development, implementation and maintenance of information security for FLU/Ops
• Aligned to Fraud Authentication , Financial Center, and Automated Teller Machines channel segments to drive a security strategy and to ensure appropriate security by design requirements execution
• Provides guidance and advocacy regarding the prioritization of investments that impact information security
• Advises management on risk issues related to information security and recommends actions in support of the bank's wider risk management and compliance programs
• Monitors information security trends internal and external to the bank and keeps leadership informed
• Manages quality control and reporting
• Ensures compliance with policies and lawsRequired Skills
• Information Security & Technology professional with 10+ years’ experience
• 7+ years of risk management experience with proven ability to effectively apply risk principles to challenging business situations
• Subject matter expertise in application security, vulnerability testing and development of risk appetite
• Experience evaluating cyber security controls and providing guidance for platform or distributed computing platforms (Cloud, PaaS)
• Experience evaluating third party information security control and providing guidance to reduce risk on identify observations
• Experience with information security for No SQL, Big Data , and unstructured data stores (Cassandra, Hadoop, and /or Teradata)
• Knowledge in Windows, Midrange and Mainframe Platforms with emphasis on security application security controls
• Exceptional executive presentation and communication skills
• Excellent influencing and problem resolution skills
• Advises LOB management on risk issues related to information security and recommends actions in support of the bank's wider risk management and compliance programs
• Ability to be comfortable delivering messages across a wide spectrum of individuals having varying degrees of technical understanding
• Strong leadership skills and qualities which enable you to work with peers and various levels of managementDesired Skills:
• Bachelors and/or Master’s degree in Computer Science, Information Technology or related field
• Experience working on cloud control assessment in Microsoft Azure, Amazon Web Services and Google Cloud Platform environments
Risk Management
• Drives GIS/FLU/Ops risk deliverables
• Collaborates with risk partners on info security critical priorities
• Participates in senior FLU/Ops specific Risk Management & Business Continuity Routines
• Identifies and measures global information security (GIS) controls on most critical business processes or channelsLeadership/Strategy
• Ability to build strong Partner relationships with peer technology groups and supported FLU/Ops
• Supports the triage process with the client and helps them understand the GIS support structure
• Drives required risk culture and partnership with peer technology teams and supported FLU/Ops
• Participates in key operating routines to drive information security risk strategy
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Job Description:
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:
Leads the development of AML models to support business requirements and the enterprise's risk appetite collaborating with the Technology, Global Financial Crimes, and Model Risk Management teams
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
Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.
As a part of Global Risk Analytics, Global Financial Crimes Modeling and Analytics is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems. The Global Financial Crimes Modeling and Analytics team is made up of nine sub-teams:
7) Research and Development is responsible for future thinking concepts, innovation coordination, tools and technique assessment, artificial intelligence oversight, and vendor assessment oversight.
Overview of Role:
Responsible for independently conducting quantitative analytics and modeling projects.
Responsible for developing new models, analytic processes or systems approaches.
Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
Supports 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
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the 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
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. Python, SAS, SQL, or other languages
Strong analytical and problem-solving skills
Required Education and Work Experience:
Master’s degree in related field or equivalent work experience
3+ years (2+ years with a PhD) of experience in model development, statistical work, data analytics or quantitative research
5+ years of leadership and/or management experience
These jobs might be a good fit