• Client Quantitative Analytics Manager - AML

    Bank of AmericaSeattle, WA 98194

    Job #2804298302

  • Client Quantitative Analytics Manager - AML

    Charlotte, North Carolina;Plano, Texas; Fort Worth, Texas; Boston, Massachusetts; Chandler, Arizona; Chicago, Illinois; Jacksonville, Florida; Kennesaw, Georgia; Phoenix, Arizona; Belfast, Maine; Seattle, Washington; Richmond, Virginia; Newark, Delaware; New York, New York; Tampa, Florida; Chicago, Illinois

    Job Description:

    Enterprise Job Description

    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.

    One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

    Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

    Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

    Job Description

    Manages/oversees the analytical, team, & client responsibilities across a targeted group of Analytical resources consisting of Senior Analysts, Team Leads, and Analysts; serving one or more senior executives with functional responsibility across Wealth and Consumer channels, products, marketing

    Ensures appropriate focus and alignment of staff and resources

    Identifies opportunities for collaboration across the Analytics organization to effectively deliver against priorities. Supervises, directs, and communicates complex analyses using a variety of tools, techniques and resources to deliver insights that drive business direction and decision making. Partners with P&L owners and senior executives to identify, analyze, and propose solutions to a variety of business problems using data driven insights. Develops employees within the analytical discipline to be able to communicate and improve their business insight capabilities. Experience in supervising/leading technical or complex projects and managing to an outcome(directly or indirectly). Proven track record in financial services, consumer products, or marketing business / analytics. Knowledge of current data techniques, and tools. Demonstrated understanding of statistical data uses in business decisions.

    LOB Specific Information

    This role is responsible for supporting the development and execution of the Data Strategy in line with the priorities for Consumer & Small Business Anti-Money Laundering (CSB AML). Key responsibilities include defining, developing, executing, monitoring, and/or refining Data related strategic initiatives and processes in close collaboration with key stakeholders and internal partners.

    The role will be a key contributor in ensuring the organization is an industry leader on cataloging, simplifying, and improving the data ecosystem, complying with the law and policy, and enable data-driven solutions.

    While this role requires the ability to layout a strategic vision & strategy for data, the manager would also document data use, conduct lineage research, and apply findings to inventory leading to overall control assessment, gap closure, monitoring and remediation. Further, this manager would advise on models and strategies regarding data supply chains.

    The requirement of the role is both strategic as well as executional, leading the adoption of solutions by influencing and partnering across the company and the CSB AML organization. This role requires an understanding of systems, data and its lineage as well as data health and reporting.

    Responsibilities

    • Develop and manage data use inventory

    • Builds and/or executes business initiatives and/or processes, while partnering with stakeholders and partners

    • Solves complex problems and delivers on business initiatives and processes by applying subject matter expertise and technical knowledge of the business

    • Engages with key stakeholders, partners, and business leadership to deliver on business objectives

    • Performs analytics, assessments, and/or interpretation of data and/or information to identify business opportunities, derive insights, and measure outcomes

    • Develops strategic and tactical plans to drive progress towards business goals and objectives

    Required Qualifications

    • 10+ years of overall experience with extensive knowledge of data ecosystems and managing and implementing new projects with proven strong stakeholder management and collaboration skills

    • Experience in one or more of the following areas: dataintelligence/analytics,data management, data governance, data supply chain, data quality management, and/or data architecture

    • Strong understanding of data governance, data quality, and data management and data concepts

    • Demonstrated ability to think strategically and develop strategic objectives tied to business needs/goals

    • Strong analytical thinking, critical thinking, and problem-solving skills

    • Strong planning and prioritization skills to drive outcomes

    • Innovative thinking

    • Ability to articulate and present to senior leadership

    • Ability to influence key stakeholders with credibility and impact

    • Excellent written and verbal communications skills

    • Advanced expertise in all Microsoft Office tools and reading query languages in SQL, SAS

    • Experience in supervising/leading technical or complex projects and managing to an outcome (directly or indirectly)

    • Proven track record in financial services, consumer products and/or marketing business / analytics

    • Knowledge of current data techniques and tools

    • Demonstrated understanding of statistical data uses in business decisions

    Desired Qualifications

    • Bachelor's Degree

    • Data intelligence / analytics experience

    • Artificial Intelligence and/or Machine Learning exposure, experience, or training

    • Python

    Skills

    • Analytical Thinking

    • Critical Thinking

    • Process Simplification

    • Talent Development

    • Technical Strategy Development

    • Business Acumen

    • Business Analytics

    • Business Intelligence

    • Innovative Thinking

    • Strategic Thinking

    • Continuous Improvement

    • Decision Making

    • Executive Presence

    • Hiring and Onboarding

    • Influence

    Shift:

    1st shift (United States of America)

    Hours Per Week:

    40

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