Client Quantitative Analyst I (Consumer Anti-Money Laundering) at Ghr

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 Overview:

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 Client Quantitative Analyst position is within the Client Protection organization supporting functions, including Fraud Prevention and Detection, Anti-Money Laundering (AML), Sanctions and Screening Compliance. A quantitative mind, natural curiosity and a desire to challenge the status quo while keeping an eye toward the big picture are key requirements.

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. You will interact with a wide variety of stakeholders in Client Protection, Risk, and Technology and you will be expected to effectively communicate quantitative concepts to both technical and non-technical stakeholders and apply a creative and innovative mindset to solve complex problems.

Responsibilities:

• Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms

• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights

• Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions.

• Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables

• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau

• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership

• Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity

As a Client Quantitative Analyst in Client Protection, your main responsibilities will involve:

• Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, and technology

• Independently conducting quantitative analytics and developing new innovative analytic processes when needed

• Applying quantitative methods to further analytical capabilities that support Consumer Banking’s BSA/AML compliance programs

• Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior

Required Qualifications:

• 2+ years of experience in applied data science or quantitative research or related role

• Strong analytical and problem-solving skills

• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics to a non-technical audiences

• Ability to manipulate data from structured and unstructured sources

• Experience extracting and merging data from different database environments, including Hadoop

• Ability to work effectively in a fast-paced high-consequence environment

Desired Qualifications:

• Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics

• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world

• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions

• Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques

• Effective at prioritization/time and project management

• Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution 

• Experience gathering and communicating business requirements between technology product owners and engineering teams

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

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.

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

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100)

Pay and benefits information

Pay range

$82,200.00 - $115,100.00 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. Apply Now