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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! Line of Business Job Description: This job is responsible for moderately complex transaction and fulfillment processing, including the movement of assets into and out of accounts. Key responsibilities include reconciliation, settlement, and trade and transfer support, and providing quality service and operations support for internal business partners and external clients, in accordance with established guidelines and procedures. Job expectations include handling in operational processes which may carry medium to high levels of monetary risk and assisting in training less experienced team members. Responsibilities: <ul> <li>Performs moderately complex transaction processing and reconciliation with medium to large monetary impact according to the established written guidelines and procedures</li> <li>Responds to moderately complex client inquiries via numerous channels to support operational efficiency and quality client service</li> <li>Responsible for the analysis and resolution of moderately complex transactions requiring escalations and exceptions</li> <li>Proactively identifies risk and opportunities for process improvements based on an understanding of how the work impacts other operational units</li> </ul> Skills: <ul> <li>Attention to Detail</li> <li>Customer and Client Focus</li> <li>Oral Communications</li> <li>Prioritization</li> <li>Problem Solving</li> <li>Account Management</li> <li>Analytical Thinking</li> <li>Coaching</li> <li>Written Communications</li> <li>Mentoring</li> <li>Research</li> <li>Result Orientation</li> </ul> Line of Business Job Description: The Order Management analyst provides back-up post-secondary Fixed Income, Equity &amp; Option trade support for Wealth Management, Edge and Investment Solutions Group, along with supporting the 99-Markets call center line, email and order entry inquiries for Fixed Income, Equities and Options, managerial reporting, processing Non-market Trade Corrections, Trading Rejects &amp; Exceptions each day. Lastly, the role includes some reporting to other areas and cross training on order status queries of Fixed Income, equities and options orders. Required Skills: <ul> <li>A minimum of 1 year related experience in financial services.</li> <li>Experience supporting a financial product sales or marketing desk.</li> <li>Experience resolving trade breaks.</li> <li>Knowledge of Fixed Income products and the trading lifecycle</li> <li>Strong Microsoft Excel skills</li> <li>Proven ability to multi-task in a fast-paced trading environment</li> <li>Detail oriented with strong communication and interpersonal skills.</li> <li>Experience reconciling trading ledgers.​</li> </ul> Desired Skills: <ul> <li>An aptitude for problem solving.</li> <li>Experience with Bloomberg terminal</li> <li>Fixed Income trade booking experience​</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Transaction Management Ops Analyst - Order Management

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 defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap. Responsibilities: <ul> <li>Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services</li> <li>Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates</li> <li>Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments</li> <li>Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable</li> <li>Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions</li> <li>Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products</li> <li>Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)</li> <li>Develop and Deploy AI architectures that meet business requirements, leveraging various AI technologies such as machine learning, deep learning, and natural language processing.</li> <li>Establish and enforce standards for AI system design, development, and deployment, ensuring consistency and scalability..</li> <li>Provide model developers and solutions developers with the value-add consulting support they need to optimally leverage suite of model development and production capabilities with a focus on building, staging and deploying AI enabled solutions.</li> <li>Work closely with model and application developers to better understand their needs, use cases, and improve user experience.</li> <li>Collaborate with cross-functional teams, working closely with application developers, data engineers, product managers, and other stakeholders to understand business needs</li> <li>Deploy machine learning models to solve complex problems and improve business outcomes.</li> <li>Continuously monitor AI system performance, identify areas for improvement, and implement optimizations to ensure systems meet business requirements.</li> <li>Create and maintain documentation for AI systems, including architecture diagrams, technical specifications, and user guides.</li> </ul> Required Qualifications: <ul> <li>10-15+ Years of Overall Experience</li> <li>Proficiency in languages such as Python, with experience in libraries like NumPy and scikit-learn.</li> <li>Knowledge of various machine learning algorithms, including supervised and unsupervised learning, neural networks, decision trees, clustering, and dimensionality reduction.</li> <li>Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and knowledge of their architectures and APIs.</li> <li>Proficient with SLURM workload manager with REST and Flask APIs for automated and secure job scheduling.</li> <li>Experienced in scalable infrastructure for deploying and managing large language models (LLMs),</li> <li>HPC engineer with hands-on experience designing and managing GPU-accelerated clusters for large-scale AI/ML workloads.</li> <li>Experience with deploying machine learning models in production environments, including containerization, microservices, and API design.</li> <li>Leveraging Prometheus and Grafana to collect and analyze metrics, identify performance issues, and implement fixes. Experience creating Slurm and Triton metrics will be a plus.</li> <li>Familiarity with Triton Inference Server, including its architecture, configuration, and deployment.</li> <li>Knowledge of model optimization techniques, including pruning, quantization, and knowledge distillation.</li> <li>Exploratory Data Analysis - Plotly, Seaborn, matplotlib</li> <li>Deep Learning, Neural Networks, Decision Trees, Ensemble Methods, Gradient Boosting, Support Vector Machines, Random Forest, Logistic Regression, Transfer learning, Transformer based models, BART, Hyperparameter Tuning, Gen-AI, CNN, Computer Vision, NLP</li> <li>Tools and Platforms like - Docker, Kubernetes, Jupyter, MLFlow, Github, Terraform, Jenkins, HuggingFace</li> <li>Flask API Development and Security</li> <li>Container Runtimes: Enroot, Pyxis, Podman</li> <li>Linux (RHEL/CentOS) System Administration</li> <li>Model Optimization techniques using Triton with TRTLLM</li> </ul> Desired Qualifications: <ul> <li>Experience with data cleaning, feature scaling, and normalization</li> <li>Programming skills creating UI/UX using the Angular framework, HTML, CSS, and JavaScript</li> <li>Creating vector embeddings</li> <li>Tools and Platforms like - AWS (SageMaker, Lambda, EC2)</li> <li>Database Technologies – Oracle, MS-SQL, MongoDB, Redis and MySQL</li> <li>SQL and PL/SQL Scripting</li> </ul> Skills: <ul> <li>Analytical Thinking</li> <li>Architecture</li> <li>Result Orientation</li> <li>Solution Design</li> <li>Technical Strategy Development</li> <li>Application Development</li> <li>Collaboration</li> <li>Data Management</li> <li>DevOps Practices</li> <li>Risk Management</li> <li>Agile Practices</li> <li>Automation</li> <li>Influence</li> <li>Solution Delivery Process</li> <li>Test Engineering</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Senior Architect

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 auditing activities of Artificial Intelligence (AI) risk management across the company and for specific business units or control functions. Key responsibilities include conducting the audit assessment of effectiveness of controls supporting the AI model life cycle including AI risk assessment, AI and model governance, model development, validation, on-going monitoring, and model change management. Job expectations may include the ability to influence management’s strategic direction and actions to strengthen the model risk control environment. Responsibilities: <ul> <li>Conducts audit assessment of the company’s AI governance framework and routines</li> <li>Conducts audit assessment of effectiveness of controls supporting the use of AI models and application such as AI model life cycle including model governance, development, validation, on-going monitoring, and model change management.</li> <li>Performs review of model development analysis and on-going model performance testing to assess the conceptual soundness of the AI model methodology, reasonableness of the model assumptions and the completeness and accuracy of the model testing.</li> <li>Conducts review of the AI model validation analysis to assess the effectiveness of the model validation process. Assesses the completeness and reasonableness of the model assumptions, limitations and independent model testing.</li> <li>Provides insightful challenges to management, identifies control deficiencies or enhancement opportunities, conducts root cause investigation, documents and reports audit findings.</li> <li>Works closely with teammates from multiple internal audit teams to ensure a comprehensive coverage of model uses across the various lines of business of control functions.</li> <li>Works closely with model stakeholders and senior management with regard to communication of audit assessment outcomes.</li> </ul> Technical Skills: <ul> <li>Data Algorithm</li> <li>Data Analysis, Interpretation &amp; Decisioning</li> <li>Executive Report Writing</li> <li>Testing &amp; Workpaper Documentation</li> <li>Model Risk Principles</li> <li>Technology Risk Principles</li> <li>Data Risk Principles</li> </ul> Skills: <ul> <li>Critical Thinking</li> <li>Quantitative Development</li> <li>Risk Analytics</li> <li>Risk Modeling</li> <li>Technical Documentation</li> <li>Adaptability</li> <li>Collaboration</li> <li>Problem Solving</li> <li>Risk Management</li> <li>Test Engineering</li> <li>Data Modeling</li> <li>Data and Trend Analysis</li> <li>Process Performance Measurement</li> <li>Research</li> <li>Written Communications</li> </ul> Minimum Education Requirement: Master’s degree in related field or equivalent work experience Shift:1st shift (United States of America) Hours Per Week: 40

Quantitative Financial Analyst

White Cap

Senior Pricing Analyst

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. 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. Enterprise Model Risk Management seeks a Sr Quantitative Fin Analyst – Anti-Money Laundering (AML) to conduct independent testing and review of complex models used to monitor and mitigate money laundering risk. The candidate should exhibit familiarity with industry practices and have knowledge of up-to-date AML techniques. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning methods to manage the bank’s AML models and model systems. The position will be responsible for: <ul> <li>Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review. </li> <li>Conducting governance activities such as model identification, model approval and breach remediation reviews. </li> <li>Providing hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects. </li> <li>Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; communicating and interacting with the third line of defense (e.g., internal audit) as well as external regulators, as needed. </li> <li>Writing technical reports for distribution and presentation to model developers, senior management, audit and banking regulators. </li> <li>Acts as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering.</li> </ul> Minimum Education Requirement: PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics. Required Qualifications: <ul> <li>Knowledge and 4+ years of experience in building and understanding of Anti-Money Laundering models and systems. </li> <li>Strong familiarity with industry practices in the field and knowledge of up-to-date Anti-Money Laundering techniques </li> <li>CAMS certification (preferred) </li> <li>Fluency in Python, SAS and SQL </li> <li>Excellent written and oral communication skills with stakeholders of varying analytic skills and knowledge levels.</li> </ul> Skills: <ul> <li>Critical Thinking</li> <li>Quantitative Development</li> <li>Risk Analytics</li> <li>Risk Modeling</li> <li>Technical Documentation</li> <li>Adaptability</li> <li>Collaboration</li> <li>Problem Solving</li> <li>Risk Management</li> <li>Test Engineering</li> <li>Data Modeling</li> <li>Data and Trend Analysis</li> <li>Process Performance Measurement</li> <li>Research</li> <li>Written Communications</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Sr. Quantitative Finance Analyst - AML Model Validation

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! The Risk Process Analyst is responsible for supporting the development and execution of capabilities that include models, analytical tools, and tests used for risk management. Key responsibilities include obtaining an understanding of Bank-wide processes, including their risks, underlying data, and process steps, and using that knowledge to build capabilities for the Front Line Units/Control Functions to better manage their risk and operational effectiveness. This role supports other risk analysts and managers to complete a set of task aligned to risk and data management. Job Description Summary Bank of America’s Global Risk Management business is looking for a Risk Process Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc.</li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>Ability to analyze and find interesting patterns in data with at least one of the following:</li> <li>Implement distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc.</li> <li>Build user facing UI applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> <li>Knowledge and working experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences</li> <li>Ability to effectively present findings, data, and conclusions to members of the team and management.</li> <li>Ability to operate independently with guidance to deliver sub tasks and the ability to participate in group settings.</li> <li>0-2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> </ul> Preferred skills: <ul> <li>Knowledge and experience in machine learning / AI models</li> <li>Knowledge and experience with financial data sets</li> <li>Ability to code proficiently in at least one programming language like Python or Java.</li> <li>Proficiency in SQL and in at least one NoSQL data store.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Risk Process Analyst - Market Behavior Analytics

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 Summary: This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics, independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the line of business and partner organizations (e.g.,. Risk, Product, etc.). Account Takeover (ATO) persists as one of the most prevalent threats within the fraud landscape today. This, coupled with the expansion of our digital capabilities, and the wide array of compromised information available for purchase, has increased the scope and complexity of effectively detecting, mitigating and monitoring ATO risk within the Bank’s ecosystem. The Fraud Prevention and Detection organization relies heavily on our understanding of current fraudster tactics to expand our capabilities, reduce customer friction, and make strategic investment decisions. Data related to customer profiles and online banking login events hold an important key to securing best-in-class fraud performance and exceptional customer experiences. The selected candidate will work closely with the Cross-Functional teams and internal stakeholders to minimize process gaps and deliver on organizational loss goals. Device and Non Monetary Fraud and Innovation Senior Analyst- This job is responsible for performing complex analyses of online logins, device characteristics, and other non-monetary data to minimize fraud loss exposure and negative impacts to the customer experience. Key duties include analytical support on strategy creation and optimization, proposal of policy/procedural changes, and partner engagement within a complex stakeholder matrix. Responsibilities: <ul> <li>Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics</li> <li>Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights</li> <li>Deriving actionable insights from complex data</li> <li>Investigation and root cause analysis of major fraud losses and emerging trends</li> <li>Implementing incremental fraud mitigation controls in partnership with functional stakeholders</li> <li>Developing effective monitoring and oversight for cross-functional processes, inclusive of performance reporting and newly identified opportunities for collaboration across teams</li> <li>Supporting processes related to initiative management, including impact assessments, business case development, and capability roadmap development</li> </ul> Required Qualification: <ul> <li>4+ years of fraud, cyber, or risk analyst experience developing and/or optimizing mitigation strategies or managing large fraud programs/initiatives</li> <li>3+ years of SQL and/or SAS coding ability</li> <li>Excellent communication and presentation skills</li> <li>Ability to identify opportunities for improvement and work autonomously with minimal direction</li> <li>Expertise in building and managing stakeholder relationships and presenting to senior leaders</li> <li>Ability to work in a fast-paced, dynamic environment </li> </ul> Desired Qualifications: <ul> <li>B.A./B.S in Computer Science, Data Science, Statistics or related field</li> <li>Advanced degree in Computer Science, Data Science, Statistics, or related field</li> <li>Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication</li> <li>Understanding of statistical methods for developing performance metrics</li> <li>Familiarity with data visualization tools, preferably Tableau</li> <li>Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)</li> <li>Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive</li> <li>Familiarity with code automation</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Device and Non Monetary Fraud Lead Analyst

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Responsibilities: The Private Equity and Real Assets Origination Group strives to develop and maintain a comprehensive Alternative Investments offering set across client demographics and delivery platforms. Initiatives specifically include: •Sourcing managers/funds •Onboarding managers and launching funds, including: •Determining offering and pricing structures •Negotiating terms •Driving initiatives that advance and support a robust AI platform that meets the unique needs of the private bank/institutional clients •Managing existing products &amp; external fund relationships Specific responsibilities for Origination efforts include: • Developing fund marketing collateral and coordinating internal reviews • Determining appropriate funds to offer to Merrill Lynch clients in conjunction with Sales and Due Diligence • Developing an appropriate legal structure and operational process for each product • Negotiating business and operating terms with fund managers • Coordinating launching and oversight of AI Funds for the private bank/institutional investors, including the creation and maintenance of channel-specific materials • Coordinating investment and business due diligence efforts • Ensuring proper internal and external legal review • Creating offering documents, contractual agreements, and business proposals • Analyzing private equity organization and offering documents to determine business, legal, and headline risk • Maintaining comprehensive knowledge of all private equity structures, terms, and industry trends • Running product based analyses and comparisons to determine the competitive landscape Specific responsibilities for the management of existing products and external fund relationship efforts include: • Maintaining fund marketing collateral • Ongoing maintenance of platform offering documents • Ongoing relationship management with fund managers • Coordinating appropriate actions to address issues with existing private equity funds • Drafting formal communications for Merrill Lynch Financial Advisors and clients Qualifications: • 2-5+ years of relative experience • SIE, Series 7, 63/65 or Series 66 or must be willing to obtain within 120 days of start date • Proficiency in Excel and PowerPoint • Knowledge of financial markets • Ability to simultaneously manage and execute multiple projects • Ability to coordinate with other areas of the GWIM organization • Bachelor’s degree (concentrated in Finance or Business preferred) or equivalent work experience • Experience as a Paralegal is a plus Skills: <ul> <li>Analytical Thinking</li> <li>Financial Forecasting and Modeling</li> <li>Presentation Skills</li> <li>Relationship Building</li> <li>Risk Management</li> <li>Causation Analysis</li> <li>Client Management</li> <li>Market Analysis</li> <li>Monitoring, Surveillance, and Testing</li> <li>Product Marketing and Branding</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Networking</li> <li>Product Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Private Equity Product Origination Analyst

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 defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap. Position Summary: We strive to build fault tolerant design patterns that support zero to minimal downtime in support of distributed platforms, complex compute environments, and Cloud technologies in pursuit of creating best in class big data ecosystems. They must be able to work with end users, stakeholders, executives, system administrators, and vendors to help deploy those solutions from POC to Production. Responsibilities: <ul> <li>Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates</li> <li>Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments</li> <li>Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable</li> <li>Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products</li> <li>Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability</li> <li>Manages relationships with business and technology leaders and vendors for technical products and creates an inclusive and healthy working environment to resolve organizational impediments and blockers.</li> <li>Design and develop scalable, high-performance data architectures leveraging Hadoop and Teradata platforms to meet business intelligence and analytics requirements.</li> <li>Lead and mentor a team of platform architects and engineers, fostering a collaborative environment to deliver innovative solutions.</li> <li>Oversee the end-to-end implementation of platform solutions, ensuring alignment with business objectives and adherence to best practices.</li> <li>Conduct performance tuning and optimization of data platforms to ensure efficient data processing and retrieval.</li> <li>Stay abreast of industry trends and emerging technologies to continuously evolve the data architecture strategy.</li> </ul> Required Qualifications: <ul> <li>BS in Computer Science, information Technology or related field. </li> <li>5+ years of technical solutions experience including 3+ years in relevant enterprise data platforms and processing on Hadoop, Teradata, and Data Transformation Products</li> <li>Enterprise Business Intelligence and Analytics.</li> <li>Varied data processing engines and strategies: Databricks, Snowflake, Big Query, Watson X, Starburst / Trino</li> <li>Experience in multiple programming disciplines including Java, Python, and Scripting Languages. </li> <li>Deep understanding Virtualize and Containerized platforms: Openshift, Kubernetes, docker, VMware </li> <li>Understanding of storage and data replication platforms: CEPH, Cirata, Ozone, MinIO, Kudu, HDFS</li> <li>Understanding of Network and Security principals, Creating designs that adhere to Security Baselines</li> <li>Understanding of Cloud architectures including IaaS, PaaS, SaaS, compute, storage, network, and security solutions that run on large Cloud service providers (Azure, Google, AWS).</li> <li>Ability to work independently and lead a project team</li> </ul> Desired Qualifications: <ul> <li>Linux</li> <li>Python</li> <li>PostgreSQL</li> <li>Ansible in a secure environment</li> <li>Agile</li> <li>JIRA</li> </ul> Skills: <ul> <li>Analytical Thinking</li> <li>Architecture</li> <li>Result Orientation</li> <li>Solution Design</li> <li>Technical Strategy Development</li> <li>Application Development</li> <li>Collaboration</li> <li>Data Management</li> <li>DevOps Practices</li> <li>Risk Management</li> <li>Agile Practices</li> <li>Automation</li> <li>Influence</li> <li>Solution Delivery Process</li> <li>Test Engineering</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Hadoop Solutions Architect

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! The UHNW Portfolio Analyst tasked with supporting Senior UHNW Portfolio Strategist client/prospect cases through subject matter expertise that marries goals based investing, CIO SAA guidance and ISG product knowledge. Be expert in portfolio construction topics, such as risk analytics, manager/product selection and portfolio optimization. Utilize portfolio risk and proposal tools to create personalized proposals for specific client and prospect cases. Regularly dialogue and partner with CIO, capital markets and product partners across manager due diligence and alternative investments to ensure the team is current on market trends and product updates to appropriately reflect the firms' best thinking in UHNW portfolio recommendations. Job Responsibilities: <ul> <li>Develop relationships with UHNW focused Financial Advisors in assigned territory to educate on team’s capabilities and the value proposition of the UHNW Portfolio Strategies and Analyst.</li> <li>Strategize with those Advisors on how to approach deepening existing UHNW client relationships in their book and how to present full suite of solutions to prospective clients. </li> <li>Lead the portfolio construction process for new money opportunities with UHNW clients and prospects.</li> <li>Deliver investment expertise that begins with robust client discovery leading to custom asset allocation, multi asset portfolio construction and traditional and alternative investment manager selection.</li> <li>Engage advisors to deliver our enterprise-wide solutions that meet their clients’ needs.</li> <li>Partner and collaborate with enterprise Specialists to ensure full scope of the client’s wealth needs are met.</li> <li>Partner with local Merrill Market Executives to deliver value add content to advisors.</li> </ul> Qualifications: <ul> <li>2-5+ years of financial services experience</li> <li>Previous experience in portfolio construction, manager selection (traditional or alts), investment management or in a Wealth Management investment support/sales role supporting Financial Advisors.</li> <li>Bachelor’s degree preferred.</li> <li>Enhanced investment credentials desired (CIMA, CAIA, CPWA, CFA, etc..)</li> <li>Series 7 and 66 licenses preferred at time of hire or must be able to obtain within 120 days of start date.</li> </ul> Skills: <ul> <li>Critical Thinking</li> <li>Oral Communications</li> <li>Portfolio Analysis</li> <li>Research Analysis</li> <li>Strategic Thinking</li> <li>Analytical Thinking</li> <li>Business Acumen</li> <li>Collaboration</li> <li>Market Analysis</li> <li>Portfolio Management</li> <li>Networking</li> <li>Wealth Planning</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

42 IT Jobs in Morristown, NJ 07960, USA