The Company
Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 340,000 employees as of January 2025. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
About Cognizant Consulting
To be digital, companies today must have organizational velocity approaching speed of light while providing individualized offerings that result in fanatical levels of customer satisfaction—all with laser-focused cost control. And from applications to infrastructure, processes to operational models and interfaces to experiences—there are digital forces driving change in every part of our clients’ organization. At Cognizant, our consultants orchestrate the capabilities to truly change the game—across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our approach is built around elevating business understanding of the aspirations and unique abilities of customers and employees and by building these relationships based on trust and value.
More information? Please visit https://www.cognizant.com/consulting
Job Summary
Business Analyst - Fund Accounting
Team member for the Data Delivery and Channels - Fund Services Team
Proficient Business Functional Analyst with 6 years in fund accounting principles and hands-on ability to query and analyse data across enterprise databases This role sits at the intersection of business analysis and technology supporting client onboarding workflows within asset servicing operations The ideal candidate bridges functional finance knowledge with data literacy able to interpret fund accounting logic validate data integrity and translate business requirements into actionable techniques.
Roles & Responsibilities
Oversee design and rollout of client facing reports dashboards and performance analytics aligned with SLAs and regulatory expectations
Responsible for product management of complex data and reporting projects and programs for new business and existing business
Collaborates with internal Key Partners and clients to facilitate the data delivery strategy tailored to client specific requirements including custom data transformation
Drive process improvements and efficiency initiatives within the accounting function leveraging technology and best practices
Demonstrates knowledge in fund and client accounting ensuring high quality service delivery
Strong expertise in data hydration warehousing transformation and cloud native data architecture
Continuously grow and develop skills across AIML and GenAI and increase business acumen
Support client onboarding vendor integrations and managed service engagements by providing technical specifications and solution architecture for data flows
Technical proficiency in tools such as SQL Python ETL platforms API gateways Snowflake Databricks and metadata management platforms
Key Descriptions:
Oversee design and rollout of client-facing reports, dashboards, and performance analytics aligned with SLAs and regulatory expectations.
Responsible for product management of complex data and reporting projects and programs for new business and existing business.
Collaborates with internal Key Partners and clients to facilitate the data delivery strategy tailored to client specific requirements, including custom data transformation.
Drive process improvements and efficiency initiatives within the accounting function, leveraging technology and best practices.
Demonstrates knowledge in fund and client accounting, ensuring high-quality service delivery.
Strong expertise in data hydration, warehousing, transformation, and cloud-native data architecture
Continuously grow and develop skills across AI/ML and GenAI and increase business acumen
Support client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data flows.
Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms.
Fund Accounting Domain
Provide subject matter expertise across core fund accounting functions: NAV calculation, trade capture, position reconciliation, income processing, corporate actions, and financial reporting
Support technology implementations or upgrades involving fund accounting platforms (e.g., SimCorp Dimension, Geneva, InvestOne, Advent, or Charles River)
Work with operations and technology teams to define and validate accounting rules, booking logic, and P&L attribution models
Analyse and document data flows between order management systems (OMS), portfolio management systems (PMS), custodians, and fund accounting platforms
Support regulatory and audit requirements including IFRS/GAAP accounting treatment, fund-level tax reporting, and investor allocations
Client Onboarding Domain
Lead requirements gathering and process design for end-to-end client onboarding workflows, including KYC/AML, account setup, legal documentation, and data provisioning
Work closely with compliance, legal, operations, and relationship management teams to streamline onboarding journeys and reduce time-to-live for new clients and funds
Define and document integration requirements between CRM platforms, onboarding tools (e.g., Salesforce, Fenergo, SSIS), and downstream fund administration systems
Identify automation opportunities within onboarding processes and support RPA or workflow tooling implementations
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
