Client Quantitative Analyst II

1 month ago

New York, United States Bank of America Full time

Description

:
Leads the detailed project deliverables of a specific team of Analytical resources consisting of Senior Analysts and Analysts; serving specific business unit leaders across GWIM, Consumer, and Marketing


Executes management priorities and makes appropriate adjustments to management timing, resource requirements, etc. Directs, performs, and communicates complex analyses using a variety of tools, techniques and resources to deliver insights that drive business direction and decision making. Identifies opportunities for collaboration across the Analytics organization to effectively deliver against priorities. Partners with Business Leaders to identify, analyze, and propose solutions to a variety of business problems using data driven insights. Coaches and develops analysts in the best use of techniques, data, formats, etc. Actively involved in expending skill sets and professionalism of Junior and Senior analysts. Experience in delivering technical or complex projects and managing to an outcome (direct management). Knowledge of current data techniques, and tools. Working knowledge of tools and techniques of statistical analysis


Experience in prioritizing to meet deadlines. Ability to effectively communicate at all organizational levels.

The Client Quantitative Analyst position is within the Client Protection organization supporting functions, including Fraud Prevention and Detection, Anti-Money Laundering (AML), Sanctions and Screening Compliance. A quantitative mind, natural curiosity and a desire to challenge the status quo while keeping an eye toward the big picture are key requirements.

Responsibilities:

Take ownership of end-to-end data and analytics that supports a key AML priority Apply a creative and innovative mindset to solve complex problems Effectively communicate quantitative concepts to both technical and non-technical stakeholders, including Client Protection executive stakeholders Build and maintain strategic relationships with peers and counterparts across risk, technology, and business control functions Influence to drive fact-based decision making across Client Protection stakeholders Applying quantitative methods to further analytical capabilities that support Consumer Banking’s BSA/AML compliance programs Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior Acting as a senior leader and Subject Matter Expert. Coaching employees on best practices for structuring complex problems, performing analysis, and communicating the results and implications of their work. Communicating outcomes to Client Protection senior management and executive stakeholders

Required Qualifications:

• 5+ years of experience in applied data science or quantitative research or related role

• Advanced knowledge of statistical and data mining methods, techniques, formulas, and tests. Fluency in Python, SAS and SQL.

• Strong analytical and problem-solving skills, experience extracting and merging data from different database environments, including Hadoop

• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences

• Ability to bring new thoughts and ideas to the team in order to drive innovation and unique solutions

• Ability to work effectively and independently in a fast-paced high-consequence environment and influence other

Desired Qualifications:

• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world

• Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics

• Effective at prioritization/time and project management

• Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution

• Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques

• Proven communication skills in describing complex issues to inform strategic insights and decision

• Ability to present, lead, support, and influence 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 work experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40

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