Xtrackers Product Specialist (Associate) – Indexing, Portfolio Analytics & Investment Intelligence

Overview

Act as a quantitatively minded Product Specialist for Xtrackers, with expertise in indexing, market data analytics and investment intelligence, supporting portfolio construction, backtesting and client-facing product discussions across regions and asset classes.

What you'll do

• Develop and enhance web-based and Python-powered analytics and portfolio construction tools to generate investment intelligence from product, flow, performance, index, fundamental and ESG data.
• Support ideation, index, product and solution design/development, ensuring alignment with client demand and compliance with regulatory and firm-level requirements.
• Build expertise as a Product Specialist across asset classes, investment themes, index methodologies and the competitor landscape.
• Integrate and enhance internal and external data sources to support investment analytics, product development and investment intelligence capabilities.
• Support the execution of ETF and ETC lifecycle events, including launches, changes and terminations, while coordinating with key stakeholders.
• Help manage the Xtrackers fund range, keeping products up-to-date with regulation, competition and client preferences.
• Partner with Product, Portfolio Management, Capital Markets, Sales and fellow Indexing group members on client projects, product initiatives and thought leadership content.
• Contribute to strategic initiatives and ad hoc projects that support the growth of the Xtrackers business.

What you'll need

• University degree (Master's or PhD) in Engineering, Mathematics, Statistics, Data Science, Finance or a related quantitative discipline.
• Strong quantitative and analytical background, with the ability to translate complex market, portfolio and investment data into actionable insights.
• Minimum of 2 years of relevant experience in quantitative financial services, including areas such as quantitative research, strats, portfolio analytics, indexing, ETF product development, investment analytics, financial engineering, systematic investing or data science.
• Experience working with financial datasets and investment analytics, including portfolio construction, risk analysis, backtesting, performance attribution, factor research or index methodologies.
• Proficiency in Python and modern data analysis libraries (e.g., Pandas, NumPy), including experience using Git and collaborative software development practices.
• Strong understanding of data-driven product development, analytics workflows and market data ecosystems.
• Excellent communication and stakeholder management skills, with the ability to explain quantitative concepts to both technical and non-technical audiences, including clients and sales teams.
• Strong English language skills required.
• Intellectual curiosity and a passion for financial markets, investing and data-driven decision-making, with a commitment to continuous learning.
• Foundational knowledge of equity and fixed income instruments, including derivatives.
• Strong written and verbal communication skills.
• Highly organized, detail-oriented and accountable, able to deliver high-quality results in a dynamic environment.
• Able to thrive in an entrepreneurial setting, balancing independent work with collaboration and stakeholder engagement.

Nice to have

• Familiarity with cloud platforms such as Azure, AWS or GCP.
• Experience with APIs, data pipelines or data engineering concepts.
• Working knowledge of industry platforms such as Bloomberg, FactSet, MSCI Barra, Aladdin or comparable investment and risk management systems.
• German or additional relevant languages.

Details

• Location: Mumbai or Pune.
• Works in an international team spanning Germany, the UK, Luxembourg, the US, Japan and India.