Data Analytics Analyst

The team manages and analyzes KYC data to ensure integrity and compliance, while preparing reports and collaborating with stakeholders to mitigate risks. Continuously enhance skills and adhere to ethical standards in handling sensitive information

As an Analytics Solutions Analyst in the KYC team you will manage and analyze KYC data to ensure compliance and risk mitigation, while collaborating with stakeholders and adhering to ethical standards.

Job responsibilities:

• Collect, organize, and maintain KYC-related data from various sources, ensuring data integrity, accuracy, and completeness while complying with data privacy and security regulations.
• Analyze KYC data to identify patterns, trends, and anomalies by examining customer profiles, transactional data, and other relevant information to detect suspicious activities or potential risks.
• Prepare reports, dashboards, and visualizations to present analysis findings to stakeholders, including management, compliance teams, and regulators, ensuring clarity, conciseness, and actionability to aid informed decision-making and risk mitigation.
• Collaborate closely with stakeholders such as compliance officers, AML analysts, and IT teams to support the overall KYC process, aligning data analysis efforts with organizational objectives and compliance goals.
• Actively seek opportunities to enhance knowledge and skills in the evolving field of KYC and data analysis by staying updated on industry trends, attending relevant training or conferences, and pursuing certifications in data analysis or compliance.
• Adhere to ethical standards, maintain confidentiality, and ensure the responsible and lawful use of sensitive customer information as a data analyst in the KYC space.

Required qualifications, skills and capabilities:

• Possess 3-4 years of industry experience in data-related projects with strong proficiency in Python and API integration.
• Have a solid understanding of database concepts and demonstrate strong skills in SQL and Excel, including advanced features like formulas, pivots, and graphs.
• Proven ability to analyze and map large datasets to extract actionable insights for operational and strategic decision-making.
• Experienced in using data wrangling tools such as Microsoft SSIS and Talend, as well as data visualization tools like Tableau and QlikView.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.