Associate Quantitative Analyst

Advertiser: Ashdown People

This ad is now closed and is an example of a job including maths skills.

  • Exciting and Unique company
  • Potts Point moving to the coolest office space in the CBD in March
  • Casual, social, sporty office environment

We are after a Quant to work for this cool company in Potts Point which will soon be moving to a new office in the CBD.
The vision they have for the office will compete with Google on a smaller scale! Think: Lounge, library, cubby house, games area, stand up / sit down desks, coffee and snacks.

Skills & Experience required
You must possess a passion for data and sports with an in depth level understanding of statistics and the application of statistical techniques to data analysis, specifically in the field of predictive model development.

  • Minimum 2 years’ commercial experience
  • Exceptional academic record
  • University studies in a quantitative field such as mathematics / statistics (or engineering) Bsc (hons), MSc+
  • Experience using quantitative software packages (R, Python, Matlab, Mathematica)
  • Exposure to big data processing frameworks (Apache Flink, Spark, Beam) is an advantage
  • Exposure to object-orientated programming or a scripting language is an advantage
  • Knowledge of SQL / understanding of relational database concepts is an advantage
  • Proficient Excel / Tableau skills, with ability to analyse and present summary level data effectively
  • Strong problem solving skills, ability to work in a team with an eye for detail
  • Strong communication skills with fluency in English and excellent writing skills
  • A passion for all things Football (Soccer)

Role Description
In your role you will act as an analyst within the Research & Development team focusing on feature development and exploratory data analysis while providing general quantitative support to Senior Quantitative Analysts in their specialist area. Use your in-depth knowledge and understanding of correlation, multivariate regression and all aspects of massaging data together to discover & investigate relationships in sports data for use in predictive modelling.

  • Perform quantitative analysis on sports data, reporting on the coverage, integrity and validity of data sets
  • Using your drive & resilience to persevere with challenging and detailed investigations into discrepancies
  • Perform integration and quality assurance testing of model features and data processing components
  • Using your passion & in depth knowledge of team sports, you’ll build on existing research and develop new ideas to improve models.
  • Documentation & technical writing
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