Index Production Intern

🔒 Confidential Employer
Posted 21 March 2026
LOCATION
London
TYPE
Internship
LEVEL
Internship
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Python Data Analysis Index Calculation Data Validation Quantitative Analysis

FULL DESCRIPTION

Index Production Intern

London, UK

About [Employer hidden — view at passion-project.co.uk]:

[Employer hidden] is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. [Employer hidden] offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, [Employer hidden] was created to provide a technology focused alternative.

[Employer hidden] designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, [Employer hidden]'s platform enables its clients to bring ideas to market quickly and efficiently.

The Role

As an Index Production Intern, you will work closely with [Employer hidden]’s Index Production team to support the daily maintenance and governance of global indices. This internship provides direct exposure to real-world index calculations, data validation, and rebalancing processes within a fast-paced fintech environment.

What You’ll Do:

  • Support daily index production, including validation and monitoring of index levels
  • Assist with corporate action analysis and implementation
  • Perform quality checks on market and reference data
  • Support index rebalances and operational reviews
  • Conduct ad-hoc quantitative and data analysis
  • Document processes and support continuous operational improvements

What You’ll Learn:

  • End-to-end index lifecycle management
  • Data quality and governance in index calculation
  • Practical application of quantitative analysis in index strategies
  • How technology enables scalable, rules-based investing

Who You Are:

  • Currently pursuing a degree in a quantitative or finance-related discipline
  • Detail-oriented with strong analytical and problem-solving skills
  • Comfortable working with data and eager to learn new tools
  • Interested in indices, financial markets, and fintech innovation

Why [Employer hidden]:

  • Exposure to industry-leading index technology
  • Collaborative, fast-growing fintech environment
  • Meaningful responsibility and real-world learning
  • Strong mentorship and professional development

Qualifications:

  • Bachelor’s degree in finance, mathematics, or a related field; advanced coursework or certifications (e.g., MSc, CFA, CQF) are a plus.
  • Basic to intermediate proficiency in SQL and Python, with the ability to apply these skills to improve operational efficiency.
  • Strong analytical and problem-solving skills, with the ability to deliver actionable insights to stakeholders.

Benefits:

  • Competitive compensation packages and benefits.
  • Flexible working arrangements, including WFH options.
  • Community-first environment fostering strong relationships.
  • Emphasis on health, wellness, and work-life balance
  • Opportunities for continuous learning, development, and career growth

Our commitment to diversity

*[Employer hidden], Inc. is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board!*

*This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.*

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