Location

Remote (European Time Zone)

Contract Type

B2B

About Us:

ETFBOOK is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, 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:

You’ll 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, you’ll 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.

Requirements:

• 4+ years of experience in data analytics, data science or similar data-related role, ideally in the financial industry. Prior experience with ETF/Indexing is highly advantageous.
• Preferred Master's degree in data analysis, data science, or a related field.
• Strong proficiency in Python/R/SQL and experience with data visualization techniques; experience with Databricks preferred.
• Hands-on exposure to data quality tasks, including checks on existing datasets and support in onboarding new data sources, preferably within the financial sector or a comparable environment.
• Initial hands-on experience in supporting the team with client-related questions and data requests.
• Strong problem-solving and communication skills; Interest in financial data;
• English-fluent

Responsibilities:

• Works on key ETF data and analytics content relevant for institutional clients (buy- and sell-side), analyzing, utilizing, and interpreting data related to ETF markets in EMEA, AMER, and APAC.
• Works on and contributes to the delivery of ETF data content: reference data, dynamic data, holdings, performance, liquidity, and more.
• Works on and contributes to the delivery of large datasets from multiple sources, ensuring they are clean and structured, and works with Data Engineers on automation and continuity.
• Works closely with Business, Tech, and Product teams on a unified, efficient, and collaborative approach to ensure great depth of data and breadth of analytics within ETFbook solutions.
• Handles client requests related to data and analytics in a timely manner.
• Maintains and improves data quality, accuracy, and integrity across various ETFbook solutions (Web-Application and APIs).

What we offer:

• 100% remote work from anywhere within the European time zone.
• Competitive B2B contract.
• Exciting growth opportunities in a fast-paced startup.
• 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.

• Works on key ETF data and analytics content relevant for institutional clients (buy- and sell-side), analyzing, utilizing, and interpreting data related to ETF markets in EMEA, AMER, and APAC.
• Works on and contributes to the delivery of ETF data content: reference data, dynamic data, holdings, performance, liquidity, and more.
• Works on and contributes to the delivery of large datasets from multiple sources, ensuring they are clean and structured, and works with Data Engineers on automation and continuity.
• Works closely with Business, Tech, and Product teams on a unified, efficient, and collaborative approach to ensure great depth of data and breadth of analytics within ETFbook solutions.
• Handles client requests related to data and analytics in a timely manner.
• Maintains and improves data quality, accuracy, and integrity across various ETFbook solutions (Web-Application and APIs).

• Python
• R
• SQL
• Data visualization
• Databricks
• Data quality
• Problem-solving
• Communication
• Financial data

• 4+ years of experience in data analytics, data science or similar data-related role, ideally in the financial industry.
• Prior experience with ETF/Indexing is highly advantageous.
• Preferred Master's degree in data analysis, data science, or a related field.
• Strong proficiency in Python/R/SQL and experience with data visualization techniques; experience with Databricks preferred.
• Hands-on exposure to data quality tasks, including checks on existing datasets and support in onboarding new data sources, preferably within the financial sector or a comparable environment.
• Initial hands-on experience in supporting the team with client-related questions and data requests.
• Strong problem-solving and communication skills; Interest in financial data;
• English-fluent