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SIG Australia

4.6
  • #6 in Banking & financial services
  • 1,000 - 50,000 employees

Graduate Quantitative Researcher (PhD)

Sydney
SIG Sydney is looking for passionate PhD researchers who are interested in the world around them to join our PhD Quantitative Research Program.

Opportunity details

Opportunity Type
Graduate Job
Number of Vacancies
2-4
Start Date
Ongoing

Application dates

Applications Open
1 Mar 2021
Applications Close
3 Sep 2021

Minimum requirements

Minimum Prior Qualification
Doctorate (PhD)
Accepting International Applications
Yes
Qualifications Accepted
E
Aerospace Engineering & Aviation
Electrical & Electronic Engineering
Mathematics & Statistics
Robotics & Mechatronics Engineering
I
Artificial Intelligence
Computer Science (all other)
Computer Systems and Networks
Cyber Security
Data Science
S
Physics & Astronomy

Overview

Are you passionate about research and solving the unsolvable?

Interested in how you can have a research career in the industry?

SIGSydney is on the lookout for passionate PhD researchers who are interested in the world around them to join our Graduate PhD Quantitative Research Program. The program's start dates are ongoing.

SIG is one of the world's largest market makers, with a unique approach to trading, technology, and research. While this background puts us at the top of our game, what really makes us successful is our quantitative approach to decision making and the collaboration between our employees.

SIG's Graduate PhD Quantitative Research Program

We teach our Graduate Quantitative Researchers to use their problem-solving skills and mathematical creativity to find solutions in competitive and constantly changing financial markets. Working along with other researchers, traders, and technologists, you'll use an academic research approach to transform our quantitative modelling into trading opportunities. You can expect to be working alongside a trading team and be part of the day-to-day collaboration that makes us successful. From the moment you join SIG, you're able to see the application and high impact of your work on the success of our trading strategies.

You'll learn:

  • Option theory and option modeling in the classroom
  • Cutting edge techniques in machine learning and advanced statistics
  • Applications of optimisation and game theory to trading algorithms

What we're looking for

  • Graduating PhD's or Postdoc's with a passion for research and problem solving
  • Research interests in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, or Economics
  • Exceptional mathematical problem-solving skills
  • Strong programming skills, with emphasis on using computers to reliably and efficiently perform tasks Ability to thrive in a fast-paced environment as part of a team
  • Well-developed communication skills
  • Finance experience is a plus, but not required

Our Edge

  • Academically rigorous research with real-world application
  • Competitive salary
  • Fully-stocked kitchen, including breakfast and daily catered lunch
  • Casual dress code
  • On-site gym for SIG employees with 24hr access
  • Authentic social community (basketball team, gaming)
  • 360-degree view of Sydney's Harbors (it really is Sydney's best office view)
  • Sustainable & environmentally friendly office
  • Interview Process

Apply -> Maths Assessment -> Recruiter Interview -> Quant Interviews -> Final On-site Interview -> Offer

We don't post salary ranges externally so any salary estimate you see listed here was not provided by SIG and may not be accurate.

SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is hired by SIG.

Graduate Success Stories


  • Graduate stories
Every day is a genuinely new and interesting challenge, much more so than I’d ever anticipated. 

Charles Sutherland

  • Graduate stories
Every day is a genuinely new and interesting challenge, much more so than I’d ever anticipated. 

Charles Sutherland

  • Graduate stories
I’ve always been interested in learning new technologies, and SIG has been great in facilitating this for me.

Shiyun

  • Graduate stories
I’ve always been interested in learning new technologies, and SIG has been great in facilitating this for me.

Shiyun

  • Graduate stories
Every day is a genuinely new and interesting challenge, much more so than I’d ever anticipated. 

Charles Sutherland

  • Graduate stories
Every day is a genuinely new and interesting challenge, much more so than I’d ever anticipated. 

Charles Sutherland

  • Graduate stories
I’ve always been interested in learning new technologies, and SIG has been great in facilitating this for me.

Shiyun

  • Graduate stories
I’ve always been interested in learning new technologies, and SIG has been great in facilitating this for me.

Shiyun


Related Courses


Masters (Coursework)

With the rapid expansion of the data science field, and the increased reliance on data in business, government and research, there is a very real demand for data professionals who are able to identify and mine relevant data.
Entry Requirements
  • A Bachelor degree (whilst not a prerequisite for entry, high numeracy skills equivalent to senior level mathematics that includes algebra and elementary differential calculus is assumed); OR
  • At least five years of relevant work experience in an IT or data science-related industry. Industry experience will need to include some background in computing, data analysis or programming. Application based on relevant industry experience must be supported by a detailed CV and proof of work experience.
Intake Months
Jan, Mar, May, Jul, Sep, Oct
Duration
32 months part-time
Study Mode
Online
Domestic Tuition Fees
$54,880 total
International Tuition Fees
$54,880 total