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Kyc Data Analyst Jobs in Delaware (NOW HIRING)

JP Morgan Chase

Quant Analytics Manager

Wilmington, DE · On-site

Job Summary As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls ...

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Kyc Data Analyst information

What is the difference between Kyc Data Analyst vs Kyc Compliance Officer?

AspectKyc Data AnalystKyc Compliance Officer
Primary RoleAnalyzes customer data to identify risks and ensure data accuracyEnsures overall compliance with KYC regulations and policies
Required SkillsData analysis, attention to detail, knowledge of KYC proceduresRegulatory knowledge, risk assessment, policy enforcement
Work EnvironmentData-focused, often in analytics or finance teamsCompliance departments, risk management teams
CertificationsRelevant certifications like CAMS or data analysis coursesAML certifications, compliance training

While both roles involve KYC processes, the Kyc Data Analyst primarily focuses on analyzing customer data to identify risks, whereas the Kyc Compliance Officer oversees adherence to KYC regulations and enforces compliance policies. The roles complement each other within the compliance framework, with the analyst providing data insights and the officer ensuring regulatory adherence.

How much do Kyc Data Analysts make?

Kyc Data Analysts typically earn between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the role. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial or banking sectors.

Is KYC a stressful job?

KYC Data Analysts often work in environments with strict deadlines and high accuracy requirements, which can contribute to stress. The role involves reviewing large volumes of data, ensuring compliance, and using tools like AML software, which may require attention to detail and focus, potentially leading to stress in some cases.

What does a Kyc Data Analyst do?

A KYC Data Analyst reviews and verifies customer information to ensure compliance with anti-money laundering and fraud prevention regulations. They analyze large datasets, identify suspicious activity, and maintain accurate records using tools like Excel and database software. Strong attention to detail and knowledge of regulatory standards are essential for this role.

What is the average salary for a Kyc Data Analyst?

The average salary for a KYC Data Analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and the size of the organization. Professionals with certifications in compliance or data analysis tools may earn higher salaries, and the role often requires strong attention to detail and knowledge of financial regulations.

What cities in Delaware are hiring for Kyc Data Analyst jobs?

Cities in Delaware with the most Kyc Data Analyst job openings:

Infographic showing various Kyc Data Analyst job openings in Delaware as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Quant Analytics Manager

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

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Re-posted 14 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks

Job description

Job Summary

As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls organization. You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and other functional groups to deliver scalable, high-impact data solutions.

Key Responsibilities
  • Set the data & analytics strategy:Define and execute a roadmap that solves critical business challenges and uncovers new opportunities.
  • Lead and develop the team:Manage, coach, and grow a team of Quant Analytics Data Analysts; set priorities and uphold a culture of quality, accountability, and innovation.
  • Partner with senior stakeholders:Serve as a primary analytics point of contact for executives and cross-functional leaders, ensuring deliverables align to business needs and measurable outcomes.
  • Drive advanced analytics delivery:Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.
  • Communicate impact clearly:Present plans, progress, and results to senior leadership with crisp narratives, actionable insights, and transparent status reporting.
  • Enable innovation and AI adoption:Stay current on analytics/AI trends; evaluate, pilot, and implement new tools and techniques (including AI agents) to improve speed, quality, and impact.
  • Optimize resources for business outcomes:Allocate capacity and resources to maximize impact and influence outcomes tied to the organization’s P&L; act as a recognized technical leader.
  • Improve processes and governance:Identify and implement enhancements to processes, tooling, and governance; communicate recommendations effectively to business leaders.
  • Uphold risk and compliance standards:Operate within defined risk parameters and compliance obligations, applying strong judgment and proactively strengthening the control environment.
Minimum Requirements
  • Education:Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).
  • Experience:8+ years of demonstrated experience delivering creative, high-impact data solutions.
  • AI enablement:Hands-on experience integrating AI agents to improve efficiency and effectiveness of analytics delivery.
  • Tools and programming:5+ years of advanced experience withAlteryx, Python, and Tableau.
  • Data management:Proficiency inSQLand foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts.
  • Analytical and communication skills:Curious, detail-oriented, and motivated by complex analytical challenges; ability to design/evaluate metrics aligned to business goals and communicate technical concepts to varied audiences.
  • People leadership:Experience managing diverse, multi-site teams.
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