Description
:
This job is responsible for leading 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.
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 and you will be expected to:
• Take ownership of end-to-end data and analytics that supports a key AML priority
• Apply a creative and innovative mindset to solve complex problems
• Effectively communicate quantitative concepts to both technical and non-technical stakeholders, including Client Protection executive stakeholders
• Build and maintain strategic relationships with peers and counterparts across risk, technology, and business control functions
• Influence to drive fact-based decision making across Client Protection stakeholders
As a Client Quantitative Analyst in Client Protection, your main responsibilities will involve:
• 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
• Acting as a senior leader and SME while coaching employees on best practices for structuring complex problems, performing analysis, and communicating the results and implications of their work.
• Communicating outcomes to Client Protection senior management and executive stakeholders
Responsibilities:
1. Extracts 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
2. 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
3. Performs quantitative techniques and analysis on client, transaction, and performance data based on questions provided by business partners, translates business questions into an analytical framework, and provides actionable insights for business partners to make informed decisions
4. Interprets business problems and questions and performs required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
5. 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
6. Researches and evaluates data sourcing, conducts quality checks and comparisons of both data and analysis output, and escalates data inconsistences and gaps to technology and leadership
7. Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity
Required Qualifications:
• 5+ years of experience in applied data science or quantitative research or related role
• Advanced knowledge of statistical and data mining methods, techniques, formulas, and tests. Fluency in Python, SAS and SQL.
• Strong analytical and problem-solving skills, experience extracting and merging data from different database environments, including Hadoop
• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
• Ability to bring new thoughts and ideas to the team in order to drive innovation and unique solutions
• Ability to work effectively and independently in a fast-paced high-consequence environment and influence other
Desired Qualifications :
• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world
• Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics
• Effective at prioritization/time and project management
• Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution
• Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
• Proven communication skills in describing complex issues to inform strategic insights and decision
• Ability to present, lead, support, and influence senior management and business stakeholders
Skills:
8. Application Development
9. Business Analytics
10. Data Mining
11. Data and Trend Analysis
12. Business Intelligence
13. Data Quality Management
14. Data Visualization
15. Quality Assurance
16. Technical Troubleshooting
17. Analytical Thinking
18. Business Acumen
19. Continuous Improvement
20. Innovative Thinking
Minimum Education Requirement : Bachelor’s degree or equivalent work experience
Shift:
1st shift (United States of America)
Hours Per Week:
40