Product Classification / Data Governance Business Analyst

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Morgan Stanley USA
  • 24 Sep 17

Product Classification / Data Governance Business Analyst

Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile
The Finance Division reports to the Chief Financial Officer and consists of some 3,000 employees worldwide. Finance protects the Morgan Stanley franchise by serving as guardian of the Firm's books and records, and by contributing to Firm wide risk management and risk reduction. This division maintains relationships with Morgan Stanley's various industry and government regulators, and also serves as the conduit of financial information to the outside investment community. Finance plays a critical role as advisor to Morgan Stanley's various businesses and its senior management team.

This is a Business Analyst position with the Finance Strategy Operations and Technology (SOT) organization on the Finance Data Architecture team. The individual will have direct responsibility for executing and managing key components of the Finance (Regulatory) Data Governance Program.

Team Profile
The Finance-wide Data Governance program prioritizes remediates and escalates data quality issues impacting Finance including External reporting such as Basel and CCAR reporting and Internal reporting.

The objectives of Finance Data Governance are to:
- Ensure data can be trusted (i.e. is of good quality)
- Put people and processes in place to identify, fix and prevent data related issues, making the Firm more efficient and driving real $ savings
- Make individuals (e.g. Data Owners) accountable for adverse events arising from low data quality

Primary Responsibilities
The role reports to the Finance Data Governance group. The team is seeking a self-starter individual who has the ability to work with varying levels of seniority. The role will require the individual to monitor, remediate and escalate key issues in the Product Classification Program. The role will involve interaction with various departments within the firm including Finance, Technology, Credit, Risk and Operations.

Partner with upstream providers and consumers of Finance Data to:
- Quantify the impact of issues
- Establish root cause of issues
- Write Business Requirement Documents

Work with Data owners to:
- Agree tactical mitigation / strategic remediation of root cause
- Tracking / oversight of issues through to resolution
- Participate in testing of data governance policies and procedures to ensure compliance by data providers and consumers


Skills required (essential)
- Demonstrable appreciation of application / process inter dependencies within functional domain(s)
- 5+ years of professional experience / Business Analysis skill
- Strong networking & influencing skills
- Strong written and verbal communication skills; ability to interact with various levels throughout the organization
- Strong organizational skills; attention to detail
- Self-starter; Good time management; Team player
- Strong problem-solving and analytical skills

Desired Skills
- Strong product knowledge across different asset class such as Fixed Income, Listed Equity and Derivatives and Loans
- Understanding (and ideally experience of) the challenges and benefits of implementing a data governance and/or quality program
- Experience of reference and transactional data desirable, particularly as part of front-to-back business processing.