Global AML Operations - Client Quantitative Analyst I

Bank of America; Fort Worth (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Bank of America is seeking a Client Quantitative Analyst to support analytical work for multiple projects within a line of business. You will leverage databases to acquire client and performance data, transform it into meaningful insights, and deliver findings to leaders to guide decisions.

Responsibilities include cross-source data integration, quantitative techniques, and communicating complex results simply to business partners, with a focus on BSA/AML compliance and evolving risk signals.

Qualifications

• Bachelor's degree or higher in finance, math/statistics, computer science, or another quantitative field.
• Coursework in finance, math/statistics and/or computer science.
• 2+ years of experience in applied data science or quantitative research or related role.
• Ability to manipulate data from structured and unstructured sources.
• Strong analytical and problem-solving skills.
• Proven communications skills in describing complex data to inform strategic insights.

Responsibilities

• Extract data using SQL, SAS, Python, or Spark/Scala and work with on-premise and hybrid platforms.
• Connect provisioned data across multiple sources and transform data into meaningful values and insights.
• Perform quantitative analysis on customer, transaction, and performance data and provide actionable insights for business partners.
• Document and follow requirements to perform analytics and deliverables.
• Communicate complex subjects to non-technical and technical partners using PowerPoint, Word, Excel, and Tableau.
• Assist with quality checks and escalate data inconsistencies to leadership.
• Independently conduct quantitative analytics and develop new analytic processes; support BSA/AML compliance programs.

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

Education

Bachelor's degree or higher in finance/math/statistics/CS

Coursework in finance/math/statistics/computer science

Master's Degree or higher in finance/math/statistics/CS

Tools

SQL

SAS

Python

Spark/Scala

Hadoop

Tableau

PowerPoint

Excel

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!

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.

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, 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 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

• Ability to use data tools and techniques to find and deliver data from various sources of record
• Proven communications skills in describing complex data to inform strategic insights and decisions
• Bachelor's Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
• Coursework in finance, math/statistics and/or computer science
• 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
• Ability to extract and merge data from different database environments, including Hadoop
• Ability to work effectively in a fast-paced high-consequence environment

Desired Qualifications

• Master's Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
• 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

Shift: 1st shift (United States of America)

Hours Per Week: 40

Bank of America is committed to help employees through the transition period when they're displaced as a result of a workforce reduction, realignment or similar measure.

Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity.

Getting started Regardless of the position you are interested in, the starting points to building your resume are the same:

1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications.

2. Think about why you can do the job and make a list of your skills that are relative to the job.

3. Identify experiences or accomplishments that show your proficiency in the skills required for the job.

4. Summarize your abilities, accomplishments and skills into a brief, concise document.

Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments.

Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.

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