Client Quantitative Analyst - Data Scientist

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 supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.

The Analytics, Modeling and Insights organization at Bank of America is looking for a Data Scientist that is a self-starter who can translate complex concepts and generate actionable insights. Our team is unique in that we look at all clients (Consumer - Retail, Preferred & Small Business and Wealth Management - Merrill & Private). We delve into all aspects of the customers’ financial lives, including how they join the bank, product ownership, balances held, and what matters most to them. We also look at their channel behaviors such as financial center visits, digital usage, and competitor payments as well as wealth potential. Ultimately, we end up being specialists in profitability, and dig deep into both revenue and expenses to determine what drives a profitable relationship. This is a great team to join for individuals who want broad exposure to our vast client base across multiple aspects of their financial lives and interactions with the firm, what makes our clients happy, which then helps to drive organic responsible growth.

In this role, you will be expected to work with fellow data scientists, internal strategy, technology, product, and policy partners to develop advanced analytical solutions in support of a variety of deepening, acquisition and retention strategies. This includes a wide variety of analytical projects including customer profiling and segmentation, market opportunity sizing and generating curated presentations with meaningful, insightful, and actionable findings. The analyst will leverage multiple databases to acquire customer behavioral data for analysis to answer business questions, solve complex problems, interpret/summarize output and communicate results to business partners and senior leaders to help drive business decisions and processes.

The person taking this role will be responsible for:

Performing client analysis aimed at building insights to support the segmentation strategies for Consumer, Wealth Management Small Business and Business Banking

Analyze specialized groups such as New to Bank, Hispanic/Latino, student, military and age generation subsets covering a wide variety of analytical projects including customer profiling, segmentation and market opportunity sizing.

Have experience using tools such as Python, Spark and SAS to extract, transform and build analytic datasets to understand longitudinal connected client behaviors

Leverage both supervised and unsupervised learning frameworks to understand and segment client behavior

Presentation of work will be to all levels of the organization including senior leadership by generating client presentations with meaningful, insightful, and actionable findings

Skills:

Business Analytics

Data Mining

Data and Trend Analysis

Analytical Thinking

Business Intelligence

Data Quality Management

Data Visualization

Application Development

Business Acumen

Continuous Improvement

Innovative Thinking

Quality Assurance

Required Qualifications:

1-2 years of professional experience as a Data Scientist or related role

Experience with Statistical Modeling and Machine Learning techniques

Should be well-versed in a variety of programming languages Python/SAS, SQL, Data frame manipulation and familiarity with Machine Learning Frameworks

Ability to extract data using a variety of a programming languages such as SQL, SAS, Python with knowledge of both relational and non -relational database systems

Ability to successfully communicate strategic information and insights using software such as Power Point, Word and Outlook as well as oral presentation

Desired Qualifications:

SharePoint, MS Office (Excel, PowerPoint), Agile Tools (JIRA, Confluence etc), Tableau

Experience with Java, Spark/Scala via command line, Python or other software applications

Project planning experience, including project scoping, timing needs, and reporting

Ability to understand and implement techniques discussed in machine learning research papers

Advanced degree in Mathematics, Statistics, Economics, or other related field

Minimum Education Requirement: There is no specific degree requirement, while candidates with

quantitative degrees (either undergraduate or graduate) are preferred, other applicants with relevant

certifications and experience will be considered as well.

For internal employees; participation in a work from home posture does not make you ineligible to post

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Shift:1st shift (United States of America)

Hours Per Week: 40

Pay Transparency details

US - NY - New York - 114 W 47TH ST (NY8114)

Pay and benefits information

Pay range

$82,200.00 - $117,900.00 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.

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