Job Title - Senior Associate - DAG

About Us:

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

 Work location : Client Office

7 - 10 Years 

TEAM – Data & Analytics Group (DAG)

LEVEL – Senior Associate

SALIENT FEATURES –

DEPARTMENT PROFILE

Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $1.46 Trillion in assets under management or supervision as of December 2023.  Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service, and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations, and individuals worldwide.

Description of Role

We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).

Key responsibilities

As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following –

1. Review, analyze, and resolve data quality issues across IM Data Architecture
2. Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.
3. Coordinate the onboarding of data from various internal / external sources into the central repository.
4. Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
5. End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
6. Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
7. Document business requirements and use cases for data-related projects.
8. Manage change control process and participate in user acceptance testing (UAT) activities.
9. Implementation of data governance framework as a part of projects involved.
10. Identify and escalate issues in a timely manner.
11. Support other DAG initiatives.

Key Skills

1. Ability to interact with business and technology teams to understand processes and data usage.
2. Capable of driving multiple projects alone
3. Ability to do data analysis and trace data lineage
4. Capable of working across organization and as part of a cross-functional virtual team.
5. Ability to work and think independently, but within a team-based approach.
6. Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.
7. Strong communication skills

Key qualifications

1. Bachelor’s Degree required and any other relevant academic course a plus.
2. Strong domain knowledge of investment banking data
3. 5+ years of data management, data analytics, and data governance experience in financial services
4. Experience in data analysis and profiling using SQL is a must
5. Knowledge in coding, Python is a plus.
6. Experience working with BI reporting tools like Tableau, Power BI is preferred.