Consulting Manager - Data Analyst - Wealth & Capital Markets
$81.5k - $129kCognizant Technology Solutions
About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you? About the Role As a Consulting Manager – Data Analyst - Wealth & Capital Markets , you will make an impact by leading client‑facing initiatives across financial data, operations, and systems within wealth management and capital markets environments. You will help ensure high-quality data flows across custodians and broker‑dealer platforms, enabling accurate reporting and efficient trading operations. You will be a valued member of the Banking & Financial Services Consulting team , working closely with client stakeholders across operations, data, and technology teams. In This Role, You Will Lead analysis and integration of custodian data from multiple sources, ensuring alignment with business and reporting needs Own data mapping and data model design, including mapping custodian data to broker‑dealer (BD) models and identifying gaps Define and implement canonical data models aligned with client data governance frameworks Oversee analysis across the trading lifecycle (including clearing, settlement, and portfolio processes) to support operational improvements Manage delivery (including JIRA boards, priorities, and roadmap) while leading small teams and driving execution in a client‑facing consulting environment Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring time in a client office . The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What You Must Have To Be Considered 8–13 years of experience in wealth management or capital markets, with strong exposure to consulting or client‑facing roles Proven expertise in data mapping, data models, and financial data flows Strong understanding of trading lifecycle, custody processes, broker‑dealer systems, and portfolio management Experience working with and integrating custodian data across multiple systems Experience contributing to practice development, including creating Points of View (PoVs), Statements of Work (SOWs), and supporting RFI/RFP responses Ability to own workstreams, manage stakeholders, and lead small teams in a consulting environment These will help you succeed Experience with brokerage platforms or wealth management systems Exposure to data governance, canonical data models, or enterprise data frameworks Familiarity with cloud platforms or AI‑driven data solutions Experience working in agile delivery environments (e.g., JIRA, backlog management) Ability to connect business, operations, and data/technology perspectives We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply—even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out. Compensation $81,500 – $129,000 This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits Medical, dental, vision and life insurance 401(k) plan and contributions Employee stock purchase plan Employee assistance program 10 paid holidays plus PTO Paid parental leave and fertility assistance Learning and development certifications and programs Post closing date Applications will be accepted until June 23, 2026. #J-18808-Ljbffr Cognizant
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