Market Data Analyst Stoxx
Investment intelligence solutions for investors and wealth managers.
CDI
London
Télétravail : non spécifié
Salaire : non spécifié
> 3 ans
Les compétences que l’on cherche
Aptitudes techniques
Communication
Tableau
Excel
SQL
+2
Votre nouvelle entreprise
315 collaborateurs
Big Data
Finance
L'avis de Welcome
STOXX, part of the ISS STOXX group of companies, is the administrator of the renowned STOXX and DAX indices which are are licensed to more than 550 companies around the world. The company has existed in some form since 1997, notably operating as Quontigo from 2019 to 2023 (when it found its place with ISS). Although STOXX keeps its customer base under wraps, it claims to work with some of the world’s largest asset management companies and financial institutions. It has received a massive amount of industry recognition and awards and, alongside its sibling ISS STOXX divisions, is solidly a key player in the space.
Vos missions au quotidien
- ISS STOXX LiquidMetrix are hiring for a Market Data Analyst to join the team in London
- In this role, you will help evaluate and onboard cross-asset class data feeds for our Venue Analytics, Transaction Cost Analysis (TCA) and Trade Surveillance products
- As a specialist in market data, you will work closely with expert Product Data and Development teams to deliver project Proof of Concepts (POCs) that help guide project roadmaps and enrich the Product offering for our clients – Investment banks, Brokers, Wealth / Asset Managers and Exchanges
- This is a fantastic opportunity to work closely across multiple teams (including c-suite), develop expertise in multiple facets of market data and venue & execution analytics and work with cutting edge products in a fast-paced environment
- Develop global market data and referential data coverage:
- Working with teams to onboard new market venues to the platform, including Fixed Income, Derivatives, Equities/ETFs, FX and Crypto
- Maintenance and enrichment of an extensive reference database, covering global cross-asset market metadata, instrument listings and company fundamentals
- Help evolve data QA procedures to deliver high-quality, robust information to downstream applications
- Work with the Application Support team to recover from data delivery and processing issues
- Feed Management
- Liaise with vendor network to help identify mandatory feed changes and the required implementation plan for existing feeds
- Research upcoming market microstructure changes and help produce models on how the business can benefit
- Undertake analyses of data and construct accurate and insightful reporting
- Provide clear lines of communication to stakeholders on feed projects and product development
- Analytics & Support
- Understand and help develop deeper analytics across asset classes, including differing approaches to TCA and instrument-level performance measurements
- Respond to client requests for new market coverage
Ce que l’on cherche
- An understanding of data modelling techniques (both supervised and unsupervised), applying goodness-of-fit measures and AI highly desirable
- Excellent analytical skills and an ability to understand technically complex problems
- The ideal candidate will be highly motivated, with the ability to work effectively as part of a team or individually. Experienced in data management and analysis, they will be calm under pressure and have excellent prioritisation skills:
- Highly proficient with Microsoft Excel, including macros, pivot tables, functions & charts. Experience with analytical tools, such as PowerBI, Tableau, Jupyter etc, as well as Rest APIs is desirable
- Proven experience working with financial market data and/or referential data and an interest in further developing a career in Finance
- Proven ability to work well under pressure and adapt to changing priorities and complex challenges
- Minimum 3 years’ experience
- Good communication and written skills, and the ability to build strong professional relationships at all levels, with both internal and external parties
- Educated to degree level in Finance, Mathematics or similar Quantitative discipline
- Ability to work with, manipulate and analyse large datasets (such as Level 2 and Level 3 orderbook data)
- Scripting: SQL (intermediate as a minimum), Python. Experience in object-oriented programming a bonus