Requirements: English
Company: ETFbook
Region: remote, poland ,
About Us:
ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, the we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.
We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.
About the role:
Youll join a highly skilled data analysts team, part of the data department. This team is responsible for shaping data roadmap across three regions incl. EMEA, AMER and APAC, acquiring and defining data and analytics contents, ensuring quality and integrity of the data throughout our solutions available to institutional clients.
Your primary goal will be to work on key data and analytics contents relevant for institutional clients (buy-and-sell side) for analysing, utilizing, and interpreting data related to global ETFs markets. The goal is to deliver trusted data and analytics solutions to internal stakeholders and predominantly to external clients, enabling data-driven decisions or strategic solutions.
Reporting to the Head of Data, youll be a part of a collaborative team focused on data contents, data analytics, and data roadmap. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.
Responsibilities:
- Define key ETF data and analytics contents relevant for institutional clients (buy-and-sell side) for analysing, utilizing, and interpreting data related to global ETFs markets, including ETF markets in EMEA, AMER and APAC.
- Work on shaping data and analytics contents available through ETFbook platform and other distributing methods (Web-Application and APIs) to meet institutional clients (buy-and-sell side) data and analytics needs.
- Work closely with Business, Tech and Product teams on unified, efficient, and collaborative approach to ensure great depth of data and breadth of analytics within ETFbook solutions.
- Work and contribute to end-to-end delivery of ETF data contents, including reference data, dynamic data, holdings, performance, liquidity, and many others.
- Work and contribute to end-to-end delivery of large datasets from multiple sources, ensuring they are clean and structured and work with data engineers on ensuring automation and continuity, by leveraging latest technologies in Big Data and AI/ML.
- Maintain and improve data quality, accuracy, and integrity across various ETFbook solutions (Web-Application and APIs).
- Consult with internal stakeholders and external clients on data and analytics contents and solutions to ensure ETFbook competitive edge and growth in the ETF data space.
Requirements:
- 7+ years of experience in the ETF/Indexing industry within data, analytics, portfolio management, risk or research field.
- Preferred Master degree in data analysis, data science or related field.
- Strong proficiency in Python/R and experience in Data Visualisation techniques.
- Experience in working with large datasets and data engineering.
- Strong problem-solving and communication skills.
- Interest in financial data.
What We Offer:
- 100% remote work from anywhere within the European time zone.
- Competitive B2B contract.
- Exciting growth opportunities in a fast-paced startup.
- Closely hand-in-hand collaboration with CEO.
- Impactful work: help revolutionise ETF data market, currently fastest growing area of finance.
- Have a real impact of developing products: your work will directly influence live projects, delivering measurable results in real-world applications.
- Culture of innovation: collaborate with forward-thinking professionals in technology and finance where experimentation and creativity are encouraged.
- Team-buildings events at least twice a year, hosted in various European locations.
Requirements:
- 7+ years of experience in the ETF/Indexing industry within data, analytics, portfolio management, risk or research field.
- Preferred Master degree in data analysis, data science or related field.
- Strong proficiency in Python/R and experience in Data Visualisation techniques.
- Experience in working with large datasets and data engineering.
- Strong problem-solving and communication skills.
- Interest in financial data.
About Us:
ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, the we aim to make global ETF data accessible, actionable, and valuable for institution