Current jobs related to Senior Quantitative Analyst - Belfast, Maine - Bank of America

Job Overview:

Enterprise Overview:

At Bank of America, our mission is to enhance financial well-being through every connection we make. Responsible Growth is at the core of our operations, ensuring we serve our clients, teammates, communities, and shareholders effectively every day.

We are committed to fostering a diverse and inclusive environment for all our employees. We seek individuals with varied backgrounds and experiences, investing significantly in our team members and their families by providing competitive benefits that support their overall well-being.

Bank of America values collaboration while also offering flexibility tailored to the diverse roles within our organization.

Being part of Bank of America presents a remarkable opportunity to advance your career, gain knowledge, and make a significant impact while contributing to meaningful change.

Position Responsibilities:
As a leader within the Client Protection organization, you will oversee a team of analytical professionals, including Senior Analysts and Analysts, to address specific business unit needs across various sectors.

Your key responsibilities will include:

• Managing comprehensive data and analytics initiatives that align with critical Anti-Money Laundering (AML) objectives.
• Employing innovative and creative approaches to tackle complex challenges.
• Effectively conveying quantitative insights to both technical and non-technical stakeholders, including senior executives.
• Establishing and nurturing strategic relationships with colleagues across risk management, technology, and business control functions.
• Driving fact-based decision-making among Client Protection stakeholders.
• Utilizing quantitative methodologies to enhance analytical capabilities that support compliance programs.
• Continuously improving these capabilities to adapt to evolving risks and client behaviors.
• Acting as a senior leader and Subject Matter Expert, guiding team members in best practices for problem structuring, analysis, and communication.
• Reporting outcomes to senior management and executive stakeholders.

Required Qualifications:

• A 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, with the ability to articulate quantitative topics to non-technical audiences.

• A proactive mindset to introduce innovative ideas that drive unique solutions.

• Capability to work independently in a fast-paced, high-stakes environment while influencing others.

Desired Qualifications:

• A commitment to diversity, reflecting the varied needs of our clients and employees globally.

• A Master’s or Bachelor’s degree in a quantitative discipline such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics, or Physics.

• Proficiency in prioritization and project management.

• A 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.

• Proven ability to communicate complex issues to inform strategic insights and decisions.

• Skills in presenting, leading, supporting, and influencing 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

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