Assistant Vice President; Quantitative Investment Analyst

New Jersey Department of Children and Families; New York (NY); On-site; USD 170,000 - 180,000; Full time

Job summary

A leading financial institution seeks a Financial Analyst to enhance investment and wealth management solutions through quantitative analysis and programming in Python and Matlab. Candidates should possess a master's degree and relevant experience in analytics, coupled with a strong foundation in quantitative modeling and automation of data processes.

Benefits

Industry-leading benefits

Paid time off

Access to wellness resources

Qualifications

• Master's degree or equivalent required.
• 2 years of relevant quantitative experience.
• Expertise in quantitative modeling and programming.

Responsibilities

• Develop and maintain investment and wealth management solutions.
• Conduct quantitative analytics on model performance.
• Design and develop high-quality code for data processing.

Skills

Quantitative modeling

Analytics

Machine learning

Data processing

Probability and statistics

Education

Master's degree in Finance, Statistics, Mathematics, or related

Tools

Python

Matlab

R

Job description

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!

RESPONSIBILITIES:

• Deliver goals-based investment and wealth management solutions by developing and maintaining robust frameworks, services and tools, quantitative asset allocation and portfolio construction, with analytical tools of Python (NumPy, SciPy, pandas).
• Monitor discretionary single asset and multi asset portfolios with tools such as Factset, Risk Metrics, Bloomberg and Morningstar Direct.
• Design robust and innovative quantitative investment strategies, rules-based model portfolios and validated analytical models scale leveraging statistics and data science techniques such as machine learning to help clients achieve their financial goals across GWIM channels (Merrill, Edge, Institutional, Private Bank, Retirement & Personal Wealth Services).
• Conduct quantitative analytics on models and portfolios performance leveraging mathematical and innovative problem-solving skills with demonstrable interest in prototyping and delivering proof of concept while evaluating alternative solutions.
• Communicate and give presentations in an audience-appropriate manner with the ability to translate complex quantitative concepts into common-sense terms and thinking.
• Perform quantitative modeling and analytics, including optimization, probability, statistics, econometrics, applied mathematics, machine learning, and differential equations and Copula theory.
• Design and develop high-quality code and tools in Matlab, Python (NumPy, SciPy, and Pandas), and R to automate data extraction, processing, and data-driven decision-making.
• Leverage classical statistical methods and advanced machine learning approaches of tree-based models, lasso regression, and principal component analysis to process complex data in real-time environments.
• Work extensively with large datasets and integrating multiple data sources to generate data science solutions and actionable business insights.

REQUIRED SKILLS & EXPERIENCE:

• Master's degree or equivalent in Finance, Statistics, Mathematics, or related: and
• 2 years of experience in the job offered or a related Quantitative occupation.
• Must include 2 years of experience in each of the following:
• Performing quantitative modeling and analytics, including optimization, probability, statistics, econometrics, applied mathematics, machine learning, and differential equations and Copula theory;
• Designing and developing high-quality code and tools in Matlab, Python (NumPy, SciPy, and Pandas), and R to automate data extraction, processing, and data-driven decision-making;
• Leveraging classical statistical methods and advanced machine learning approaches of tree-based models, lasso regression, and principal component analysis to process complex data in real-time environments; and,
• Working extensively with large datasets and integrating multiple data sources to generate data science solutions and actionable business insights.

If interested apply online at www.bankofamerica.com/careers or email your resume to [e-mail] 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

$170,000.00 - $180,000.00 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.