Osnovno
Reference Data Analyst
Objavljeno: 18.05.2026
Datum zaprtja: 02.07.2026
Referenčna delovna mesta: 05d98f14626f3b9fb5bee4fcc04edf16
Informacije o delovnih mestih
Lokacija
Zürich, Zurich, Switzerland
Podjetje
TN Switzerland
Naročnik / delodajalec
eClerx
Referenčna delovna mesta
05d98f14626f3b9fb5bee4fcc04edf16
Vrsta seznama
Osnovno
Zahtevano delovno dovoljenje EU
Ne
Objavljeno
18.05.2026
Datum zaprtja
02.07.2026
Opis delovnega mesta
Reference Data Analyst______________________________________________________________________ Location: Zurich, Switzerland Type: Full-time Department: Financial Markets _______________________________________________________________________ Summary As a Reference Data Analyst you will be responsible for the accurate creation, maintenance, and governance of static and dynamic reference data across multiple financial products and systems. This role plays a critical part in supporting collateral management operations by ensuring data integrity, timely updates, and alignment with regulatory and operational standards. Responsibilities Maintain and validate reference data for counterparties, securities, and agreements used in collateral management systems and workflows. Set up accounts in Collateral Management Systems, ensuring alignment with CSAs, ISDA, and SMA agreements. Collaborate with middle office, risk, and legal teams to onboard new counterparties, secure approvals and update records. Liaise with external vendors (e.g., Bloomberg, Markit, DTCC) and internal stakeholders to source and verify data. Initiate and coordinate SSIs setup requests and coordinate with Ops teams and stakeholders. Address queries related to collateral accounts, SSIs setup. Plan and track client onboarding schedules, highlighting dependencies and risks. Maintain trackers and provide regular status updates in meetings and calls. Ensure timely coordination and escalation of issues/risks. Support additional or ad-hoc requests and projects. Adhere to operational controls (e.g. SOPs, SLAs, and KPIs). Participate in data quality initiatives, including exception reporting, root cause analysis, and remediation. Contribute to automation and process improvement efforts using tools such as Alteryx, Xceptor, or internal workflow engines. Ensure compliance with internal controls, audit requirements, and regulatory standards. Eligibility Requirements Ideally, 1–5 years of experience in reference data management, preferably within collateral, middle office, or securities operations. Good understanding of financial instruments (e.g., OTC derivatives, equities, fixed income, FX) and collateral lifecycle. Ideally, familiarity with collateral management platforms (e.g., AcadiaSoft, TriResolve, Murex) and data governance tools. Proficiency in Excel (pivot tables, lookups), with exposure to SQL or data visualisation tools being a plus. Excellent analytical, problem-solving, and communication skills. Ability to work under pressure and manage multiple priorities in a fast-paced environment. Preferred Qualifications Bachelor’s degree in Finance, Economics, or a related field. Knowledge of regulatory frameworks impacting collateral and data. Experience with reconciliation tools and exception management workflows. Languages German and/or English Work Permit Must possess a Swiss Work Permit or a EU Passport About eClerx eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results. The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Eqypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
Spretnosti
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery