Client Quantitative Analyst II

TN United Kingdom; Belfast; On-site; GBP 45,000 - 70,000; Full time

Job summary

An established industry player is seeking a Client Quantitative Analyst to lead analytical efforts within their Client Protection organization. This role is pivotal in leveraging data to support critical business decisions, particularly in areas like Fraud Prevention and Anti-Money Laundering. The ideal candidate will possess a quantitative mindset, with a strong focus on collaboration and effective communication. You will engage with various stakeholders, applying innovative problem-solving approaches to drive data-driven decision-making. If you are passionate about data science and eager to make a significant impact, this opportunity is tailored for you.

Qualifications

• 5+ years of experience in data science or quantitative research.
• Proficiency in Python, SAS, and SQL, with strong analytical skills.
• Excellent communication and technical writing skills.

Responsibilities

• Applying quantitative methods to enhance AML compliance programs.
• Extracting and transforming data for meaningful insights.
• Leading and coaching team members on analysis and communication.

Skills

Application Development

Business Analytics

Data Mining & Trend Analysis

Business Intelligence & Data Visualization

Data Quality Management & Assurance

Technical Troubleshooting

Analytical Thinking & Business Acumen

Continuous & Innovative Improvement

Education

Bachelor's degree in Data Science, Economics, Engineering, Finance, Statistics, Mathematics, or Physics

Tools

SQL

Python

SAS

Hadoop

Spark/Scala

Tableau

PowerPoint

Excel

Job description

Job Description

This position involves leading analytical efforts for various projects within a Line of Business or discipline. Responsibilities include leveraging databases to acquire client and performance data, transforming data into insights, and delivering these insights to support complex business decisions. The role requires collaboration with business partners to understand priorities and communicate complex data outputs effectively.

The Client Quantitative Analyst is part of the Client Protection organization, supporting functions such as Fraud Prevention, Anti-Money Laundering (AML), Sanctions, and Screening Compliance. Key qualities include a quantitative mindset, curiosity, and a desire to challenge the status quo while maintaining a big-picture perspective.

At Bank of America, our purpose is to improve financial lives through meaningful connections. We emphasize Responsible Growth, aiming to deliver value to clients, teammates, communities, and shareholders. The role involves interaction with various stakeholders in Client Protection, with responsibilities such as:

• Owning end-to-end data and analytics supporting AML priorities
• Applying creative and innovative problem-solving approaches
• Communicating quantitative concepts clearly to both technical and non-technical audiences
• Building strategic relationships across risk, technology, and control functions
• Driving fact-based decision making

Main Responsibilities

• Applying quantitative methods to enhance AML compliance programs
• Maintaining and evolving analytical capabilities in response to changing risks and client behaviors
• Leading and coaching team members on problem structuring, analysis, and communication
• Presenting outcomes to senior management and stakeholders

Responsibilities

• Extracting data using programming languages such as SQL, SAS, Python, or Spark/Scala from various database systems
• Transforming and connecting data across sources to generate meaningful insights
• Performing quantitative analysis to answer business questions and provide actionable insights
• Researching and validating data sources, conducting quality checks, and addressing data gaps
• Communicating complex subjects effectively using tools like PowerPoint, Word, Excel, and Tableau

Required Qualifications

• 5+ years of experience in data science, quantitative research, or related fields
• Proficiency in Python, SAS, and SQL, with knowledge of statistical and data mining methods
• Strong analytical, problem-solving, and data extraction skills, including experience with Hadoop
• Excellent communication and technical writing skills for diverse audiences
• Innovative mindset and ability to work independently in high-pressure environments

Desired Qualifications

• Commitment to diversity and inclusion
• Degree in Data Science, Economics, Engineering, Finance, Statistics, Mathematics, or Physics
• Strong project management and prioritization skills
• Knowledge of financial products and regulated initiatives
• Experience with machine learning, predictive modeling, and AI techniques
• Effective at influencing and presenting to senior management

Skills

• Application Development
• Business Analytics
• Data Mining & Trend Analysis
• Business Intelligence & Data Visualization
• Data Quality Management & Assurance
• Technical Troubleshooting
• Analytical Thinking & Business Acumen
• Continuous & Innovative Improvement

Minimum Education Requirement: Bachelor's degree or equivalent experience

Shift: 1st shift (U.S.)

Hours Per Week: 40