Sr Business Analyst - Anti-Money Laundering
$111.2k - $126.9kCapital One Bank
Capital One’s Anti-Money Laundering (AML) Program is designed to safeguard our communities, company and country by preventing, detecting, and reporting on criminal activity within the financial system. To deliver on this objective, we consume customer and transaction data from across the entire enterprise, run models to detect risky customers and behavior, and then investigate that behavior, providing leads and evidence to support Law Enforcement investigations and prosecution. Success in AML stops criminal activity such as narcotics trafficking, human trafficking, and terrorist financing, while giving the company the confidence to grow and launch new products knowing we have sound and reliable AML defenses. Business Analysts drive decisions across a wide range of Program functions to keep Capital One’s AML defenses ahead of advancements in criminal practices. Analyze macroeconomic trends driving AML investigation volumes Combine an understanding of potential criminal practices with knowledge of products from every line of business to define the criteria for identifying suspicious transactions Optimize the investigative process through operational risk management, a deep understanding of investigator productivity, and accurate capacity planning to enable us to quickly get valuable information to Law Enforcement Analyze Capital One Financial businesses contributions to AML investigations, ensuring fair and accurate accounting for AML expenses Develop business KPIs and KRIs to define and monitor success for the program General Responsibilities Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations Product: Perform modeling/analytics to assist new product and pricing strategies for various lending products Marketing: Support direct‑to‑consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Help build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go‑to‑market strategies Credit Risk: Support step‑change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis Execution: Involve problem‑frame‑works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service and profitability Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus Basic Qualifications At least 2 years of professional experience performing analysis Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering 1+ years of experience in Statistical model building 1+ years of experience in market research
- years of experience in SQL querying
- years of experience in business analysis
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