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Client Reference Data Jobs (NOW HIRING)

Chase

Party Reference Data - Associate I

Newark, DE · On-site

As a Party Reference Data Associate, you will ensure client/party reference data is accurate, consistent, and traceable across the Global Bank within the CIB in a highly regulated environment. You ...

Oraapps Inc

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... bank/client reference data; understanding of data sensitivity, masking, and compliance requirements. · Datastore & Orchestration -- Experience integrating Snowflake pipelines with external ...

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How much do client reference data jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for client reference data in the United States is $41.94, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $60.82 per hour, depending on experience, location, and employer.

What is client reference data?

Client reference data refers to the critical information that financial institutions and organizations maintain about their clients, such as names, addresses, legal entities, identifiers, and related attributes. A Client Reference Data job typically involves collecting, validating, maintaining, and updating this information to ensure accuracy, regulatory compliance, and effective client onboarding. Professionals in this field work closely with internal teams and external clients to manage data integrity, reduce risk, and support business operations. Their role is crucial in preventing errors, supporting regulatory reporting, and enabling smooth client transactions.

What are the primary challenges faced by professionals working in client reference data roles?

Professionals in Client Reference Data roles often face the challenge of maintaining data accuracy and consistency across multiple systems and departments. They must also ensure compliance with regulatory requirements, which can frequently change and require timely updates. Collaboration with internal teams such as compliance, operations, and technology is essential to resolve data discrepancies and streamline onboarding processes. Adapting to evolving data management technologies and participating in process improvement initiatives are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a client reference data analyst, and why are they important?

To excel as a Client Reference Data Analyst, you typically need strong analytical skills, attention to detail, and a solid understanding of financial products and client onboarding processes, often supported by a bachelor’s degree in finance, business, or a related field. Familiarity with data management tools, client data platforms, and regulatory systems such as KYC (Know Your Customer) and AML (Anti-Money Laundering) is commonly required. Excellent communication, problem-solving abilities, and the capacity to work collaboratively across departments are crucial soft skills. These competencies ensure data accuracy, regulatory compliance, and efficient client servicing within complex financial environments.

What is the difference between Client Reference Data vs Client Data Analyst?

AspectClient Reference DataClient Data Analyst
CredentialsTypically requires knowledge of data management, database systems, and industry-specific standardsRequires analytical skills, data analysis certifications, and familiarity with data tools
Work EnvironmentData management teams, finance, or compliance departmentsData analysis teams, finance, marketing, or operations departments
Industry UsageUsed across banking, finance, and corporate sectors for maintaining accurate client infoUsed for interpreting client data, generating reports, and supporting decision-making

Client Reference Data focuses on maintaining accurate, standardized client information essential for compliance and operations. Client Data Analysts interpret and analyze client data to support business insights. While both roles handle client information, their focus and responsibilities differ significantly.

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Client Reference Data jobs near you
Infographic showing various Client Reference Data job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $87,233 per year, or $41.9 per hour.

Reference Data Associate

Jacksonville, FL • On-site

Intercontinental Exchange Holdings, Inc.
Finance and Insurance • 5 - 10K employees
Learn more about Intercontinental Exchange Holdings, Inc.external

Other

Posted 2 days ago

New

Job description

Reference Data Associate

At ICE, we foster a culture of innovation, collaboration, and continuous learning. We value diverse perspectives and empower our employees to take ownership of their work. Our teams are driven by curiosity and a shared commitment to excellence, integrity, and delivering value to our clients. We support professional growth through mentorship, training, and opportunities to work on impactful projects in a dynamic, fast-paced environment.

We are seeking a detail-oriented and analytical Reference Data Associate to manage and enhance financial data processes supporting ICE US Municipal data products. This role involves interpreting complex data, optimizing workflows, and collaborating across teams to ensure data quality and client satisfaction. In today's fast-paced and technology-driven world, staying ahead of the curve is crucial for success. Utilizing the latest automation tools, we will significantly enhance productivity, streamline processes, and reduce human error. These tools enable data associates to efficiently manage large datasets, perform complex analyses, and generate insightful data to our clients.

Responsibilities

  • Manage and transform financial reference data from legal, financial, and vendor sources.
  • Ensure data accuracy, completeness, and timeliness across internal platforms.
  • Analyze data to uncover trends and drive process enhancements.
  • Respond to client inquiries with clear, well-reasoned analysis and solutions.
  • Collaborate with internal teams and external stakeholders to support data initiatives.
  • Develop tools (Excel/macros) and visualizations (charts, graphs) for reporting.
  • Mentor junior associates and serve as a subject matter expert.

Knowledge and Experience

  • Bachelor's degree or equivalent experience.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel, Python, SQL, and data visualization.
  • Excellent written and verbal communication skills.
  • Solid understanding of financial markets and data products.
  • Commitment to data integrity and continuous improvement.

Apply