Index Data Services Associate

4 weeks ago


London, United Kingdom ISS | Institutional Shareholder Services Full time

Overview

ISS STOXX is currently seeking a qualified professional to join our Index Data Services team as a full-time employee, based in our London office. 

In this role, the Associate will produce high quality value-added content, by working closely with Development, Research, and Product business units.Key components of the Associate’s workincludeincorporating new datasets for use in Index products, andensuring the ongoing delivery of data required by the Index business.

The successful candidate will provide ongoing operational support for best-in-class index products to global sell-side, buy-side, hedge funds, and asset owner investors. The candidate will use quantitative and qualitative skills to manage the ongoing maintenance of index and data products, which include operational processes, data analysis, data reconciliation, and quality assurance.

Responsibilities

Act as a key contributor on data ingestion projects, ensuring that key project deliverables are completed efficiently and on time

Perform Quality Assurance tasks and data analysis to ensure validity of content produced and delivered to ISS STOXX business units

Provide ongoing support and maintenance for various index products with time-sensitive deadlines

Help with data ingestion activities and in data reconciliation tasks involving identifiers and other instrument attributes

Work closely with other team members based in the London, Prague, and New York offices of ISS STOXX

Manipulate large amount of financial data and use various tools to present and analyze results

Assist Product and Index Operations teams in resolving data inquiries

Proactively look for opportunities to streamline processes wherever appropriate

Collaborate and communicate across all teams involved with index and data production process

Qualifications

2+ years of relevant experience

Minimum Bachelor's degree in Finance, Engineering, Computer Science, Economics, Statistics, or other quantitative field

Excellent communication skills and ability to work both independently and with a geographically-dispersed team 

Understanding and interest in Financial Markets and Information Technology

Ability to multi-task and manage cross-departmental projects

Strong problem-solving and analytical skills, detail oriented

Experience with SQL, Python or other object-oriented programming language, VBA, UNIX/LINUX

Nice to have

Financial certifications, including CFA, FRM, and CAIA, a plus but not essential

Experience with financial software (e.g. Bloomberg, Eikon, FactSet) and financial databases

#LI-AV1 #STOXX



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