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Quantitative Analysis Lead

2 months ago

Belfast, United Kingdom Bank of America Full time

Position Overview

The role of the Client Quantitative Analyst II is pivotal within the Client Protection division, focusing on critical functions such as Fraud Prevention, Anti-Money Laundering (AML), and Compliance Screening. This position requires a quantitative mindset, a natural curiosity, and a commitment to challenging conventional approaches while maintaining a strategic perspective.

Key Responsibilities:

  • Oversee comprehensive data and analytical initiatives that align with essential AML objectives.
  • Utilize innovative thinking to address complex challenges effectively.
  • Communicate quantitative findings to both technical and non-technical audiences, including senior executives in Client Protection.
  • Foster and sustain strategic partnerships with colleagues across risk management, technology, and business control sectors.
  • Influence decision-making processes through data-driven insights among Client Protection stakeholders.
  • Implement quantitative methodologies to enhance analytical capabilities supporting Consumer Banking's BSA/AML compliance efforts.
  • Continuously improve these capabilities to adapt to evolving risks, economic conditions, and client behaviors.
  • Serve as a senior leader and Subject Matter Expert in the field.
  • Mentor team members on best practices for structuring complex analyses and effectively communicating results.
  • Present analytical outcomes to senior management and executive stakeholders in Client Protection.

Required Qualifications:

  • Minimum of 5 years of experience in applied data science, quantitative research, or a related field.
  • Advanced proficiency in statistical and data mining techniques, with fluency in Python, SAS, and SQL.
  • Strong analytical and problem-solving abilities, with experience in data extraction and integration from diverse database environments, including Hadoop.
  • Excellent technical writing, communication, and presentation skills, capable of conveying quantitative concepts to non-technical audiences.
  • Ability to introduce innovative ideas and solutions to the team.
  • Proven capability to work independently in a fast-paced, high-stakes environment and influence others.

Desired Qualifications:

  • Commitment to diversity, ensuring that the team reflects and meets the varied needs of clients and employees globally.
  • Master's or Bachelor's degree in a quantitative discipline such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics, or Physics.
  • Effective time management and project prioritization skills.
  • Broad understanding of financial products and experience in supporting regulated initiatives within a large financial institution.
  • Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques.
  • Strong communication skills in articulating complex issues to inform strategic insights and decisions.
  • Ability to lead, support, and influence senior management and business stakeholders.

Essential Skills:

  • Business Analytics
  • Continuous Improvement
  • Data Mining
  • Data and Trend Analysis
  • Technical Troubleshooting
  • Analytical Thinking
  • Business Acumen
  • Business Intelligence
  • Critical Thinking
  • Technical Strategy Development
  • Data Quality Management
  • Executive Presence
  • Innovative Thinking
  • Strategic Thinking
  • Talent Development

Minimum Education Requirement: Bachelor's degree or equivalent work experience.

Shift: 1st shift (United States of America)

Hours Per Week: 40