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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 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: Enterprise Model Risk Management seeks a Senior Quantitative Finance Analyst – Liquidity Risk to conduct independent testing and review of complex models used to monitor and mitigate liquidity and funding risks in the Bank. Responsible for compliance with Enhanced Prudential Standards and other regulatory guidelines, the candidate will work on models related to both banking and trading businesses of Bank of America. The candidate should exhibit familiarity with industry practices and have up-to-date knowledge of liquidity risk management. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying mathematical approaches to manage the bank’s liquidity risk models and model systems. Minimum Education Requirement: Master’s degree in related field or equivalent work experience Required Qualifications: <ul> <li>Masters in finance or economics with demonstrated quantitative skills.</li> <li>FRM and CFA certifications preferred. </li> <li>Knowledge and 5+ years of experience in building and understanding of liquidity risk management models. </li> <li>Strong familiarity with the industry practices in the field and knowledge of up-to-date liquidity risk management.</li> <li>Excellent written and oral communication skills with stakeholders of varying analytic skill 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

Bank of America

Sr. Quantitative Finance Analyst - Liquidity Model Validation

Job Description: The US rates strategy group is responsible for generating financial market research, forecasts, and trade ideas across US &amp; Canadian rates markets. The team covers duration, curve, front end, inflation protected securities, spreads, agency debt, vol, and supply / demand topics. The team partners with key business partners across sales &amp; trading + other business lines throughout the firm. We are looking for someone to support the team &amp; develop into a strong research analyst. Responsibilities: <ul> <li>Serve as key member of Bank of America interest rate strategy team and in support of team production</li> <li>Work closely with senior members of the team in markets analysis &amp; research production</li> <li>Conduct macroeconomic, market, and interest rate analysis to formulate views and trades in the rates market</li> <li>Support stand-out thematic research with a focus on trade idea generation and monetizable ideas across US rates</li> <li>Assist in production of weekly research pieces on macro and micro views on wide range of factors affecting interest rates including monetary policy, fiscal policy and global macro-economic developments</li> <li>Work with the sales force in maintaining relationships with clients by updating with latest market developments, conference calls and one-on-one meetings</li> <li>Use applied statistics to help generate and inform views</li> <li>Periodic travel may be required</li> </ul> Qualifications: <ul> <li>Bachelor’s Degree (Finance, Economics, Statistics or related) or equivalent years of experience</li> <li>1-2 years of experience in relevant field + demonstrated interest in US interest rates / macroeconomics</li> <li>Background in economic &amp; financial market analysis + applied statistics / econometrics</li> <li>Demonstrated ability to manage large data sets and conduct macro &amp; financial markets analysis</li> <li>Excellent communication (written &amp; verbal), presentation, &amp; interpersonal skills</li> <li>Meticulous attention to detail and strong work ethic are required</li> <li>Proven organizational and time management skills as well as ability to work under pressure</li> <li>Capable of working effectively both independently and with multiple teams/individuals</li> <li>Familiarity in R or Matlab is a plus, but not required</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

US Rates Research Analyst - Global Research

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 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. We are seeking a talented and driven Quantitative Analyst to join our Commodities Quantitative Strategies and Data Group (QSDG). This mid-to-senior level role focuses on the design, implementation, and maintenance of cutting-edge derivative pricing models and volatility modelling tools used across our global commodities trading business. The ideal candidate will have a strong background in quantitative finance, robust software development skills in both C++ and Python, and prior experience working on derivatives pricing models — ideally within commodities, though experience in FX, equities, or other asset classes with complex volatility dynamics is also relevant. Key Responsibilities: <ul> <li>Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.</li> <li>Contribute to the design and calibration of volatility surfaces and models.</li> <li>Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.</li> <li>Work closely with traders, structurers, and risk managers to deliver high-performance analytics and model-driven tools.</li> <li>Write high-quality production code in C++ and Python, and contribute to the ongoing modernization of the analytics infrastructure.</li> <li>Write comprehensive model documentation to support internal governance and regulatory requirements.</li> <li>Collaborate with model validation and risk control teams throughout the model approval lifecycle.</li> <li>Support day-to-day analytics needs and participate in the continuous improvement of the platform.</li> </ul> Qualifications: <ul> <li>Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field.</li> <li>Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry.</li> <li>Strong experience in pricing and modelling derivatives, preferably in commodities, but FX, equities, or other complex products also considered.</li> <li>Solid knowledge of volatility modelling techniques and derivative pricing theory.</li> <li>Proficiency in C++ and Python for numerical computing and model development.</li> <li>Knowledge of working within a structured software development environment. Use of source code control systems, continuous integration environments, testing, release processes, etc.</li> <li>Excellent problem-solving skills, attention to detail, and strong communication abilities.</li> <li>Experience with model documentation and familiarity with model validation processes is a strong plus.</li> </ul> Preferred Skills: <ul> <li>Exposure to commodities markets (including, but not limited to energy, metals, ags, gas, power, index).</li> <li>Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.</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

Commodities Quantitative Analyst

Labcorp, a leading global life sciences company and a member of the S&amp;P 500, provides vital information to help doctors, hospitals, pharmaceutical companies, researchers, and patients make clear and confident decisions. With a strong scientific foundation and a commitment to innovation, Labcorp supports a range of healthcare services from diagnostics to drug development.We are currently seeking a Senior IT Specialist to support our Northeast EDI (Electronic Data Interchange) team, which manages 8,000+ interfaces across a rapidly growing market. This is a remote role, with a preference for candidates located near Raritan, NJ who can attend occasional onsite team meetings and events.Key Responsibilities<ul> <li>Analyze data reports and system outputs to identify performance trends and potential issues.</li> <li>Collaborate with internal stakeholders, clients, and third-party vendors to resolve interface and workflow challenges.</li> <li>Maintain and enhance existing EDI client configurations as needed.</li> <li>Provide quality assurance for internal and external reporting outputs.</li> <li>Manage the commissioning and decommissioning of data sets.</li> <li>Support the development of new reports and data analyses.</li> <li>Recommend and implement process improvements to optimize workflow efficiency.</li> <li>Monitor updates to source data systems and assess their impact on existing workflows and reports.</li> <li>Deliver training to end users on new reports and data processes.</li> <li>Develop and maintain Standard Operating Procedures (SOPs).</li> <li>Act as an escalation point for complex issues, working closely with departmental leadership.</li> </ul>Qualifications<ul> <li>Bachelor’s degree in Information Technology, Healthcare, or a related field, or 5+ years equivalent experience.</li> <li>Minimum of 5 years of experience in EDI or project management, within a healthcare environment.</li> <li>Strong verbal and written communication skills.</li> <li>Proven project management, organizational, and customer service abilities.</li> <li>Comfortable working independently with minimal oversight.</li> <li>Ability to manage multiple initiatives simultaneously and prioritize effectively.</li> <li>Strong analytical skills with the ability to interpret and translate complex data.</li> <li>Proficient in Microsoft Office Suite (Teams, Outlook, Word, Excel, PowerPoint, Access).</li> <li>Experience with Power BI, Power Automate, SharePoint, VBA, SQL, DAX, and Power Query.</li> </ul>Application Window: 6/13/2025Pay Range: $57,420 - $101,860All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN &amp; Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please <a href="https://careers.labcorp.com/global/en/us-rewards-and-wellness" target="_blank">click here</a>. Labcorp is proud to be an Equal Opportunity Employer:Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to applyIf you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our <a href="https://careers.labcorp.com/global/en/accessibility" target="_blank">accessibility site</a> or contact us at <a href="#">Labcorp Accessibility.</a> For more information about how we collect and store your personal data, please see our <a href="https://www.labcorp.com/about/web-privacy-policy" target="_blank">Privacy Statement</a>.

LabCorp

Senior IT Specialist - Power BI

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

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! Detailed Job Description Bank of America’s Global Risk Management business is looking for a Quantitative Financial 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>At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> <li> Ability to analyze and find interesting patterns in data with at least one of the following:<ul> <li>Experience in implementing distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc. </li> <li>Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> </ul> </li> <li>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 senior leaders.</li> <li>Ability to operate independently with minimal supervision to deliver sub tasks as well as ability to participate in group settings.</li> </ul> Preferred skills: <ul> <li>Experience in machine learning / AI models</li> <li>Experience with large scale financial data sets</li> <li>Experience to code independently with minimal oversight in at least one programming language like Python or Java.</li> </ul> Minimum Education Requirement: Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines. Shift:1st shift (United States of America) Hours Per Week: 40

Quantitative Finance Analyst - Markets Behavior Analytics Group

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

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! 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

29 IT Jobs in New York