Security Master SME

Posted Yesterday
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Chicago, IL, USA
Hybrid
140K-160K Annually
Expert/Leader
Information Technology • Database • Consulting
The Role
Serves as the domain authority for Security Master, Entity Master, and reference data management. Defines data standards, validation rules, quality frameworks, taxonomies, stewardship workflows, and data governance processes. Translates business requirements into technical models and APIs, rationalizes vendor data feeds, conducts profiling and quality assessments, supports QA testing, and guides system design and client workshops. Requires extensive financial instrument knowledge, vendor expertise, SQL proficiency, and experience with regulatory data standards.
Summary Generated by Built In

We are seeking a Security Master Subject Matter Expert (SME) to serve as the domain authority for Security Master, Entity Master, and Reference Data management for a leading global credit ratings organization. You will bridge business requirements and technology delivery — defining data standards, validation rules, data quality frameworks, and stewardship workflows that ensure accuracy, completeness, and regulatory compliance of financial instrument and legal entity data.

Responsibilities
  • Serve as the primary domain expert for Security Master bond data covering equities, fixed income, structured products, corporate bond, Muni Bond and derivatives.
  • Establish data quality rules, validation logic, and exception handling workflows for Security and Entity Master records.
  • Collaborate with the MDM Architect and backend teams to translate business data requirements into technical data models and API specifications.
  • Define reference data hierarchies: asset class taxonomies, sector/industry classifications (GICS, SIC), rating categories, and issuer hierarchies.
  • Map and rationalize data feeds from external providers (Bloomberg, Refinitiv/LSEG, FactSet, ICE) and internal source systems.
  • Partner with data stewards and governance teams to establish data ownership, lineage, and change management processes.
  • Support QA teams in building test scenarios and validation frameworks based on domain rules.
  • Conduct data profiling, gap analysis, and quality assessments on incoming security and entity data.
  • Provide domain guidance during system design reviews and client-facing workshops.
  • Stay current with industry standards: ANNA, GLEIF, FIGI (OMG), ISO 4914, and regulatory reporting requirements (MiFID II, SEC).
Qualifications
  • Bachelor's degree or equivalent
  • 10+ years of experience in financial data management, with at least 6 years as a Security Master or Reference Data SME.
  • Deep knowledge of financial instruments: equities, corporate/government bonds, structured products (ABS, MBS), and derivatives.
  • Hands-on experience with major data vendors: Bloomberg, Refinitiv/LSEG, FactSet, ICE Data Services.
  • Experience at a credit ratings agency (Fitch, S&P, Moody's) or equivalent financial data organization strongly preferred.
  • Proficiency in SQL for data analysis and validation using PostgreSQL or Oracle.
  • Authoritative knowledge of security and entity data: lifecycle, corporate actions, ratings linkage, and classification taxonomies.
  • Ability to write detailed business requirements, data dictionaries, and functional specifications.
  • Strong analytical skills — able to perform data profiling and identify systemic data quality issues.
  • Effective communicator with experience working across technology, operations, and business stakeholders.
  • Familiarity with Agile/Scrum delivery and participation in sprint ceremonies as a domain expert.

  • Base Compensation Range: $140,000- $160,000 The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Skills Required

  • Bachelor's degree or equivalent
  • 10+ years of experience in financial data management
  • At least 6 years of experience as a Security Master or Reference Data SME
  • Deep knowledge of equities, corporate and government bonds, structured products, and derivatives
  • Hands-on experience with Bloomberg, Refinitiv/LSEG, FactSet, and ICE Data Services
  • Experience at a credit ratings agency or equivalent financial data organization
  • Proficiency in SQL for data analysis and validation using PostgreSQL or Oracle
  • Authoritative knowledge of security and entity data lifecycles, corporate actions, ratings linkage, and classification taxonomies
  • Ability to write business requirements, data dictionaries, and functional specifications
  • Strong analytical skills, including data profiling and identification of systemic data quality issues
  • Effective communication across technology, operations, and business stakeholders
  • Familiarity with Agile/Scrum delivery and sprint ceremonies
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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