About The Position

We are looking for a highly motivated Junior Quantitative Analyst intern to join our product team. The Junior Quantitative Analyst intern will utilise our product to develop marketing and analysis, as well as working with our customers to gather feedback and help them use the product suit.You will have the opportunity to work on exciting products, collaborate with industry experts, and contribute to the success of our clients and the company as a whole. What makes this job special: This is a mixture of data science, sales, and marketing. All your work will have a direct impact on the business. You will have access to a petabyte scale data lake and an award-winning data science environment to analyse and work with the data.

Requirements

  • Experience of python for the purposes of data science, and familiarity with data science tools (Jupyter, pandas, Plotly)
  • Willingness to work in a fast-paced environment, with an ability to do quick analysis at tight deadlines
  • Excelled teamwork and ability to work in multidisciplinary team
  • Basic knowledge of financial markets and trading concepts
  • Ability to work effectively, both independently and as part of a team
  • Strong presentation and communication skills
  • Candidates must be eligible to work in the US.

Nice To Haves

  • Experience with SQL scripting and querying
  • Experience working with Polars
  • Experience working with PySpark
  • Knowledge and interest in statistics and machine learning and their applications to finance

Responsibilities

  • Utilise the BMLL product suite to support marketing and sales to help sell the BMLL product suite.
  • Work closely with the go-to-market team to promote the product, support our customers and gather feedback to help shape product requirements.
  • Help with technical prototyping for external partners and clients.
  • Support the product team in the development and management of the product roadmap, idea generation and product development cycle.

Benefits

  • This is a paid internship.
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