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

• Define high-level investment related problem statements, propose robust solutions, assemble and review data, and conduct quantitative research on investment strategies, products or solutions.

• Create, enhance, implement and maintain quantitative models for a broad range of investment analytics including quantitative asset allocation, portfolio construction and analytics, product modeling, quantitative investment strategy development and implementation.

• Provide risk and return forecasting, performance attribution and other wealth management analytics.

• Work transparently and collegially as a team player with other SMEs.

• Develop and maintain stakeholder relationships across the Bank with a wide variety of partners.

• Builds econometric and quantitative investment models which require advanced mathematical analyses and software programming skills.

• Develop scalable and automated data engineering setup that seeks to update market and macro data for downstream use.

• Employ portfolio optimization-driven solutions to concurrently address manager selection and portfolio construction challenges, crafting tailored investment portfolios that align with CIO’s asset allocation targets.

• Develop a Strategic Asset allocation model, utilizing robust optimization to prudently diversify asset class allocations, ensuring optimal tradeoffs between expected returns and investor risk tolerance.

• Develop bespoke framework for tactical asset allocation, leveraging systematic, quantitative, and process-driven methodologies, incorporating advanced techniques such as predictive regression, hierarchical tree-based asset allocation and dynamically adjusting Strategic Asset Allocation based on updated market data.

• Build quantitative model for Tax efficient portfolio transition by applying advanced optimization techniques, and ensuring smooth and cost effective transition process for client accounts.

• Build Capital Market assumptions model, integrating financial theory and econometric methods, to systematically forecast asset class performance.

Required Skills & Experience

• Master's degree or equivalent in Computer Science, Mathematics, Financial Engineering, Statistics, or related; and

• 3 years of experience in the job offered or a related quantitative occupation.

• Must include 3 years of experience in each of the following:

• Developing scalable and automated data engineering set-up that seeks to update market and macro data for downstream use;

• Employing portfolio optimization-driven solutions to concurrently address manager selection and portfolio construction challenges, crafting tailored investment portfolios that align with CIO’s asset allocation targets;

• Developing a Strategic Asset allocation model, utilizing robust optimization to prudently diversify asset class allocations, ensuring optimal tradeoffs between expected returns and investor risk tolerance;

• Developing bespoke framework for tactical asset allocation, leveraging systematic, quantitative, and process-driven methodologies, incorporating advanced techniques such as predictive regression, hierarchical tree-based asset allocation and dynamically adjusting Strategic Asset Allocation based on updated market data;

• Building quantitative model for Tax efficient portfolio transition by applying advanced optimization techniques, and ensuring smooth and cost effective transition process for client accounts; and,

• Building Capital Market assumptions model, integrating financial theory and econometric methods, to systematically forecast asset class performance.

If interested apply online at www.bankofamerica.com/careers or email your resume to [email protected] and reference the job title of the role and requisition number.

EMPLOYER:  Merrill Lynch

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range

$165,500.00 - $185,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.