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Team Lead-Information Management

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

This role will drive, enable and administer the development of capabilities in the management of reference data, Benchmark and account master with ongoing/future business transition to India. The Benchmark Data Team is responsible for constructing, analyzing and optimizing benchmark data so that it meets business objectives and industry standards. The team plays a critical role in supporting investment decision making, performance analytics and enterprise-wide data initiatives.A Benchmark Data lead goes beyond the day to day set up and maintenance of benchmark data across data providers and internal systems. This role focuses on the enhancement of existing processes and creation of new work streams to improve the efficiency of the benchmark domain. The analyst is able to collaborate with investment desks, risk teams, performance/ reporting functions and operations to ensure that global benchmark data capabilities are achieving customer expectations and internal risk controls while adhering to regulatory standards.Key ResponsibilitiesInformation and Data Management - Production Support (70%)

Functional Responsibilities

Consult on the process of benchmark set ups, account benchmark changes and benchmark data solutions.Assist in the execution of enterprise-wide programs by offering reliable and consistent benchmark data delivery.Provide benchmark expertise for cross-functional projects, ensuring data integrity and availability.Lead and manage I/O and change projects on benchmark masterContribute to the implementation of data governance practices, ensuring compliance with internal policies.Partner with product owners and technology teams to develop scalable, reliable, and user-friendly benchmark data solutions.Gathering, analyzing, documenting, and translating business requirements into functional specifications that can be used to design and implement solutions to meet business objectives.Update/create user and technical documentation procedure and manuals, operational support documentation and the global operating model.Provide ongoing support to maintain operational stability for legacy systems such as PACE, MEDM, and Vantage Point.Participate in efforts to integrate data from legacy systems into a centralized Data Lake, ensuring scalability and flexibility for future needs.Oversee the implementation and monitoring of data quality checks to ensure benchmark data is accurate, complete, and reliable.Liaise with data providers when data issues arise.Central touchpoint for any benchmark queries.Support transition of Business-as-Usual (BAU) activities to the production support team, ensuring minimal disruption.Collaborate with the support team to facilitate knowledge transfer and establish clear documentation for ongoing support.Pro-actively identify areas for potential process improvements and effectively communicating them to management.Support data quality activities to ensure data from source systems is accurate, current, consistent and fit for purpose with the team supporting data quality investigations as required.

Behaviors

Attention to detail.Results driven.Structured and self-organizedHigh standards for quality outputStrong collaboration with team and with business stakeholdersAbility to gain buy in and trust through building long lasting relationships with the business.

Engagement Touchpoints

Internal across the Data Group including Team Leaders, Product Owners, and Senior Leadership.Interactions globally with business teams (Operations, Investments, Vendor Data Management and Distribution), Technology and production support team.Process and Procedure Management (10%)Define, develop and update SOP, processes and procedures in regular intervals.Support the development and update of operating procedures and documentation, reflecting current policies and data standards.Drive continuous improvement, driving positive change and improved processes, organization and documentation.Management & Service Delivery (20%)To lead, mentor and operationally manage a team of data associates, so that the service provided is efficient, effective and meets the needs of business partners and clients.Develop teamwork and balance the strengths of individuals, allocating responsibilities and priorities as appropriate, measuring performance and setting targets.Co-ordinate team workload and ensure excellent service to customers and adherence to defined and agreed service levels.Contribute to relevant management meetings and provide subject matter expertiseConduct and support the delivery of training in the use of data, particularly reference data and latest technologies & tools and financial market.Perform any other duties commensurate with the grade and level of responsibility.

Skills Required

Functional knowledge and experience on Benchmark, Account masterUnderstanding of the asset management industry, investment products and the investment process. This includes familiarity with the range of indices, asset types and investment strategies available in the market.Experience collaborating with operations, investment, and distribution teams to gather and provide the necessary data to support their functions and objectives.Understanding of commercial and licensing implications of index data usage. Ability and acumen to challenge users based on understanding of alternative options, index data providers and market practices.Skilled in collecting and interpreting user requirements from business stakeholders and product owners and translating them into clear data specifications for development.Strong written and verbal communication skills to present analysis and ideas to both technical and non-technical stakeholders.Experience with key data systems such as AWS, Aladdin, FactSet, Goldensource and MEDM with an intermediate to advanced level of expertise, or a willingness to learn.Ability to manage workflow and convey ideas through tools such as JIRA.Proficiency in standard Microsoft office tools like Excel, Access, PowerPoint, Word and VisioExperience in testing large data sets and collaborating with the testing team to ensure data accuracy, completeness, and consistency.Comfortable working with SQL, or willingness to quickly develop SQL skills as needeProficient in MS Office applicationsStrong communication skills (written / oral), interpersonal skills & strong decision making abilitiesAbility to collaborate and work effectively with peers, staff and business partnersSound knowledge of Capital Markets (esp. Securities, Funds, and Forex Markets)Experience in Information management/reference data functions for at least 5 years with excellent problem solving and strong analytical abilities

Preferred Qualifications

People management skillsProcess Improvement experienceExperience with VBA and SQL

About Our Company

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.Full-Time/Part-TimeFull timeTimings(4:45p-1:15a)India Business UnitAWMPO AWMP&S President's OfficeJob Family GroupMutual Fund Operations

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