Quantitative Analyst Intern

The Role

Building and optimising trading strategies, Focussing on equity ETF’s, Developing risk management tools and automated pricing products, Market making and implementation of prop trading strategies into the ETF book. Research various techniques of Machine Learning and Meta heuristics optimization. To be able to develop libraries and perform analysis in Python and java to meet requirements. Quantitative degree background and special focus on quantitative finance.


In this role, you will:

  • Learn state-of-the-art technology of Machine Learning and Software Optimisation.

  • Learn and experience the Scrum process for better project management.

  • Learn the full development cycle of new software/features.

  • Learn various tools that can improve the efficiency of development and testing.

  • Work with talented PhD-level colleagues.

Qualifications and Skills

  • A background in Maths/Stats or Financial Engineering

  • Strong technical skills

  • A background in quantitative/systematic/algo/electronic trading

  • Excellent programming abilities in Python and SQL

  • A proven ability in clearly communicating complex solutions

  • Experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs) and Cloud (AWS and Azure) is a bonus.

  • Exceptional attention to detail

    DataSpartan is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

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