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

Job Overview:

Company Overview:

At Bank of America, our mission is to enhance financial well-being through meaningful connections. We are committed to Responsible Growth, ensuring we deliver value to our clients, employees, communities, and shareholders consistently.

We prioritize creating a diverse and inclusive workplace, valuing a wide range of backgrounds and experiences. Our investment in our employees and their families is reflected in our competitive benefits aimed at supporting their overall well-being.

Bank of America fosters collaboration while providing flexibility tailored to various roles within our organization.

Being part of Bank of America offers you a fulfilling career with opportunities for growth, learning, and making a significant impact.

Position Summary:
The Client Quantitative Analyst role is situated within the Client Protection division, focusing on critical functions such as Fraud Prevention, Detection, Anti-Money Laundering (AML), and Compliance. A strong analytical mindset, curiosity, and a willingness to challenge conventional methods while maintaining a strategic perspective are essential attributes for this position.

Key Responsibilities:

• Oversee comprehensive data and analytics supporting a primary AML initiative.
• Utilize innovative thinking to address complex challenges.
• Communicate quantitative insights effectively to both technical and non-technical audiences, including senior stakeholders in Client Protection.
• Establish and nurture strategic relationships with colleagues across risk management, technology, and business control functions.
• Drive data-informed decision-making among Client Protection stakeholders.
• Employ quantitative techniques 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.
• Act as a senior leader and Subject Matter Expert within the team.
• Mentor team members on best practices for problem structuring, analysis, and effective communication of findings.
• Present outcomes to senior management and executive stakeholders in Client Protection.

Required Qualifications:

• 5+ years of experience in applied data science, quantitative research, or a related field.

• Advanced proficiency in statistical and data mining methodologies, including fluency in Python, SAS, and SQL.

• Strong analytical skills with experience in data extraction and integration from diverse database environments, including Hadoop.

• Excellent technical writing, communication, and presentation skills, with the ability to convey quantitative topics to non-technical audiences.

• Capacity to introduce innovative ideas to the team to foster unique solutions.

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

Desired Qualifications:

• Commitment to diversity to better reflect and serve the varied needs of our 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.

• Proficient in prioritization, time management, and project management.

• Comprehensive understanding of financial products and experience in supporting regulated initiatives within a large financial institution.

• Familiarity with statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques.

• Proven ability to articulate complex issues to provide strategic insights and inform decision-making.

• Competence in presenting, leading, supporting, and influencing senior management and business stakeholders.

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 experience.

Shift:
1st shift (United States of America)

Hours Per Week:
40

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