Tiger Analytics
5 days ago Be among the first 25 applicants
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands‑on data analysis skills, and the ability to bridge business requirements with technical delivery teams.
Key Responsibilities
Analyze and document business processes across equities, fixed income, and derivatives products
Support end-to-end trade lifecycle analysis and process optimization
Reference Data & Master Data Management (MDM)
Contribute to golden‑source reference data design and attribute hierarchies
Support data modeling, data lineage mapping, and corporate action workflows
Data Quality & Controls
Define data quality rules including completeness, accuracy, and timeliness
Develop validation logic, exception handling processes, and reconciliation requirements
Work closely with data engineering teams to implement robust control frameworks
Technical & Analytical Skills
Use SQL for data profiling, analysis, and validation
Perform gap analysis across systems, data models, and business processes
Requirements Gathering & Delivery
Gather, analyze, and document business and functional requirements
Translate business needs into clear specifications and acceptance criteria
Drive User Acceptance Testing (UAT) and manage defect tracking and remediation
Stakeholder & Vendor Management
Act as a liaison between business stakeholders, technology teams, and external data vendors
Ensure consistent data definitions and alignment across teams
Communication & Problem‑Solving
Simplify complex data concepts for non‑technical audiences
Provide analytical insights and recommendations to support decision‑making
Requirements
5+ years of experience as a Business Analyst in capital markets or financial services
Strong understanding of market data, reference data, and financial instruments
Hands‑on SQL experience for data analysis and profiling
Strong experience with data quality and controls, defining DQ rules, validation logic, exception handling, and reconciliation requirements.
Capital markets & instrument knowledge across equities, FI, derivatives; understanding identifiers (ISIN/CUSIP/FIGI), vendor feeds (Bloomberg/Refinitiv), and trade lifecycle instrument identifiers (ISIN, CUSIP, FIGI) and vendor data feeds (Bloomberg, Refinitiv)
Excellent communication, documentation, and analytical problem‑solving skills
Experience with Bloomberg/Refinitiv data preferred
Familiarity with MDM tools and data governance concepts is a plus
Benefits This position offers an excellent opportunity for significant career development in a fast‑growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands‑on data analysis skills, and the ability to bridge business requirements with technical delivery teams.
Key Responsibilities
Analyze and document business processes across equities, fixed income, and derivatives products
Support end-to-end trade lifecycle analysis and process optimization
Reference Data & Master Data Management (MDM)
Contribute to golden‑source reference data design and attribute hierarchies
Support data modeling, data lineage mapping, and corporate action workflows
Data Quality & Controls
Define data quality rules including completeness, accuracy, and timeliness
Develop validation logic, exception handling processes, and reconciliation requirements
Work closely with data engineering teams to implement robust control frameworks
Technical & Analytical Skills
Use SQL for data profiling, analysis, and validation
Perform gap analysis across systems, data models, and business processes
Requirements Gathering & Delivery
Gather, analyze, and document business and functional requirements
Translate business needs into clear specifications and acceptance criteria
Drive User Acceptance Testing (UAT) and manage defect tracking and remediation
Stakeholder & Vendor Management
Act as a liaison between business stakeholders, technology teams, and external data vendors
Ensure consistent data definitions and alignment across teams
Communication & Problem‑Solving
Simplify complex data concepts for non‑technical audiences
Provide analytical insights and recommendations to support decision‑making
Requirements
5+ years of experience as a Business Analyst in capital markets or financial services
Strong understanding of market data, reference data, and financial instruments
Hands‑on SQL experience for data analysis and profiling
Strong experience with data quality and controls, defining DQ rules, validation logic, exception handling, and reconciliation requirements.
Capital markets & instrument knowledge across equities, FI, derivatives; understanding identifiers (ISIN/CUSIP/FIGI), vendor feeds (Bloomberg/Refinitiv), and trade lifecycle instrument identifiers (ISIN, CUSIP, FIGI) and vendor data feeds (Bloomberg, Refinitiv)
Excellent communication, documentation, and analytical problem‑solving skills
Experience with Bloomberg/Refinitiv data preferred
Familiarity with MDM tools and data governance concepts is a plus
Benefits This position offers an excellent opportunity for significant career development in a fast‑growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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