Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Reference Data Business Analyst role.

Rezi rewrites your resume against Qube Research & Technologies's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Reference Data Business Analyst posting at Qube Research & Technologies — free, in seconds.

About the Role

QRT is seeking an exceptional Reference Data Business Analyst to join the newly formed Reference Data Technology Team. This team is building a new reference data system and works with stakeholders across Trading, Operations, Compliance, and Research to translate business and regulatory requirements into data models, datasets, and data quality controls.

Responsibilities

Translate business and regulatory requirements into data entity models and datasets for the new reference data system.
Work closely with the Data/Platform Architect to ensure business requirements map cleanly onto the technical model.
Gather and validate requirements directly with domain stakeholders across Trading, Compliance, and Research.
Partner with Trading, Operations, and Compliance teams to build automated data quality rules and checks, exception-management workflows, and metrics.
Provide day-to-day support to business, compliance, and technology teams as a subject matter expert on data queries and system behavior.
Apply expert knowledge of equity reference data, related events, and the lifecycle and processing of corporate actions.
Support the initial delivery focused on Equities and ETFs and its direct impact on the trading business.
Produce data dictionaries, entity relationship diagrams, and requirements specifications.

Requirements

Experience producing entity and data models for reference or master data platforms in financial services.
Deep working knowledge of ETF reference data, including composition and basket data, creation and redemption mechanics, and identifiers.
Hands-on knowledge of ETF corporate actions processing, including dividends, splits, mergers, and delistings.
Understanding of corporate actions lifecycle stages, timing, and effective-date handling, and the downstream impact of processing errors.
Experience defining corporate actions data quality rules, including the detection of missed or conflicting action records and effective-date validation.
Strong requirements-gathering skills across multiple stakeholder groups, including Trading, Compliance, and Operations.
Working knowledge of data quality concepts, including completeness, accuracy, timeliness, and referential integrity.
Ability to translate regulatory and business rules into structured, testable data rules.
Comfortable working directly with technical architects to map business requirements onto a reference data model.
Strong written documentation skills, including data dictionaries, entity relationship diagrams, and requirements specifications.
Strong database and SQL skills for data interrogation and analysis.

Skills

Equity reference data
ETF reference data
ETF corporate actions processing
Corporate actions lifecycle
Data quality rules
Requirements gathering
Data quality concepts
Database
SQL
Client and account reference data
Master data management concepts
Data lineage
Metadata cataloguing
Data modelling tools
Python

Benefits

Initiatives and programs to enable employees achieve a healthy work-life balance.

About the Company

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes.
We are a data- and technology-driven organization applying scientific methods to investing.
Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.

Equal Opportunity

QRT is an equal opportunity employer.
We welcome diversity as essential to our success.
QRT empowers employees to work openly and respectfully to achieve collective success.