Title: Multi-Asset Solutions (MAS) Data Specialist - Investment Research IT

Experience: 5-10 Years

Role Type: Individual Contributor

Location: Bangalore, India

Work Hours: Monday-Friday, any 9 hours between 11:00 AM and 10:00 PM IST (must be flexible to extend as needed)

Job description:

We are seeking a Multi-Asset Solutions (MAS) Data Specialist to support the Investment Research function at SSGA. This role will focus on managing, integrating, and enhancing cross-asset investment data used in research models and portfolio construction activities. The ideal candidate will combine strong financial data expertise with modern data platform capabilities to enable high-quality, research-ready datasets for investment decision-making.

Key Responsibilities:

As a member of this team, the candidate will leverage prior experience and subject matter expertise in investment data to support Multi-Asset Research priorities.

The analyst will be responsible for:

• Own and manage datasets across equities, fixed income, FX, derivatives, and macro data.
• Oversee quality control processes, establish new checks, and enhance existing controls to improve the accuracy of data used and generated by research models.
• Understand and improve the current architecture of data quality systems (inputs, outputs, general design, tests, dependencies, and success criteria) used for research purposes.
• Understand financial instruments, basic financial engineering concepts, and the data attributes associated with them.
• Improve, and in some cases build, robust monitoring processes around investment data and perform data investigations.
• Engage with vendors as needed and evaluate multi-asset data offerings across vendors. Analyze market data coverage for various asset classes based on business requirements.
• Partner with engineering teams to support ELT pipelines, data standardization, and transformation.
• Work independently investigating data issues
• Coordinate and communicate across asset class-specific data specialists, developers, the Incident Management team, and research teams locally and globally.

The ideal candidate will have:

• A strong understanding of various macroeconomic indicators and their impact. Prior experience handling macroeconomic data or primary/secondary financial research-oriented data is preferred.
• A good understanding of capital markets, related concepts, and associated data. Well versed in equity fundamentals and fixed income analytics. Prior experience handling index- or security-level datasets is a plus.
• Familiarity with investment data from vendors such as FactSet, Bloomberg, Thomson Reuters (Refinitiv), MSCI, and S&P.
• Strong analytical skills, with the ability to build simple formulas in Excel and Python (or similar platforms) and study data patterns independently.
• A basic understanding of quantitative finance concepts is preferred.
• A self-starter with excellent organizational, time management, and relationship management skills.
• Highly detail-oriented, with the ability to work effectively with both developers and business users.

Essential Qualifications:

• Bachelor's degree in Mathematics, Statistics, Computer Science, or Information Technology, with relevant industry experience in the investment data domain or in supporting investment research teams.
• 3-5 years of work experience in the investment data domain, with an in-depth understanding of fixed income or equity asset class data.
• Candidates pursuing CFA Level II or above, with experience supporting investment data applications or research teams, will have an added advantage.
• Hands-on experience in SQL programming and basic database concepts.
• Excellent communication and presentation skills.

Note: The duties and responsibilities listed above describe the general nature and level of work performed by individuals assigned to this role. They are not intended to be an exhaustive list of all duties and responsibilities that an incumbent may be expected or asked to perform.

Profiles that will not be considered:

• This role is not suitable for QA Leads or Managers engaged in software development projects.
• This role is not suitable for generic business analysts engaged in software development projects.
• This is not a people management role.
• Candidates pursuing the CFA or CFA charterholders without demonstrated industry experience in the investment data domain will not be considered.
• Prior work experience unrelated to the technical or functional requirements of this role will not be considered relevant experience.
• Prior work experience in operations will not be considered suitable for this role.

About State Street

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