Data Engineer - Front Office Trading - Sydney Data Engineer - Front Office Trading - Sydney …

The Argyle Network
in Sydney, New South Wales, Australia
Permanent, Full time
Last application, 25 Mar 20
$160-180K Base + Super + Bonus
The Argyle Network
in Sydney, New South Wales, Australia
Permanent, Full time
Last application, 25 Mar 20
$160-180K Base + Super + Bonus
The Argyle Network
An experienced Data Engineer with strong Python & Spark skills is required to help build sophisticated solutions to help spot market misconduct.
  • Work with a Market/Trader Surveillance SME
  • Gain an unparalleled understanding of indices pricing & Trader behaviour
  • Assist in the build of highly-complex, cutting edge solutions

The Company

Our client is a leading Australian bank who have a particularly strong reputation within the Capital markets arena. Against strategic growth plans and a continuing multi-year program of work to move away from vendor reliance, they are looking a number of Data Engineers to join their Trading Technology team and contribute to the build out of Pricing & Risk components for their FX and Fixed Income trading architecture.

The Position:  
In an effort the eliminate market misconduct, my client has embarked on a large scale program of work to build a highly sophisticated, Big Data, AI and ML based Market Surveillance platform. The system will sit atop the current Trading infrastructure, analyse live trade data and detect suspicious behaviours. You will work closely with a Surveillance SME to run risk scenarios, build mock-up/pseudo code solutions to test theories and catch events before writing these detective controls into the platform.     

Requirements: 

Languages / technologies:
Required:

  • Experienced in Python development
  • Knowledge of Spark. Ideally experience writing PySpark, but experience with Scala Spark or even Spark SQL would also be considered

Nice to have:

  • Some experience in Java
  • Web experience (Javascript/HTML/CSS/Handlebars.js)

Skills / Experience:

Data engineering experience.

  • Experience working with large data sets and extracting insights

Database schema design

  • Experience with ontology development / database schema design, preferably in a decision-making capacity

Software development

  • Experience coding risk models using PySpark / big data processing
  • Experience working as part of a team delivering large software projects

Problem solving skills with an ability to decompose problems and produce well-structured logical solutions

Company Overview

The Argyle Network at it's core, is a community of Financial Services Technology professionals. The staff at The Network work on a highly relationship- driven basis, and often in more of an advisory role to job seekers, as well as to employers.

We assist technologists in how best to further their careers helping to map out the journey with them, provide up to date market/technology trends as well as introduce and help employers secure highly sort-after, often passive talent successfully and ahead of the competition.

If you feel you could either benefit from or add value to The Argyle Network, please get in touch.

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