Quantitative Systematic Trader – Honours and Master –

Quant Blueprint LLC

Sydney Township (ND)

Hybrid

USD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Market-leading education program
Private healthcare
Fully stocked kitchen with meals
Visa sponsorship and relocation package

Job summary

Quant Blueprint LLC is seeking quant-minded strategists in Sydney Township, North Dakota, to develop and analyze quantitative trading strategies. The role requires a strong analytical background and proficiency in Python, with an emphasis on collaboration across trading and research disciplines.

Successful candidates will have an Honours or Master’s degree in a quantitative field and a keen interest in strategic activities. Benefits include competitive compensation, a market-leading education program, and regular social events.

Qualifications

  • Honours or Master’s degree in Mathematics, Physics, Statistics, or related fields.
  • Solid analytical problem-solving and logical reasoning skills.
  • Experience writing code to process and analyze large data sets.

Responsibilities

  • Investigate ideas by immersing in market data using mathematical tools.
  • Run signals through the backtesting environment and analyze performance.
  • Collaborate with technologists to put profitable signals into production.

Skills

Analytical problem-solving skills
Python programming
Communication skills
C++ experience
Interest in strategic games

Education

Honours or Master’s degree in a quantitative field

Job description

Overview

We’re looking for quant‑minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine quantitative research with trading to develop new electronic strategies and monitor real‑time performance. As a hybrid of core disciplines, they communicate and connect ideas between trading, technology, and research.

What You’ll Do
  • Start with an idea that can come from anyone.
  • Investigate the idea by immersing yourself in market data using mathematical, statistical, and programming tools.
  • Discover new patterns that can become trading signals.
  • Run signals through our backtesting environment and analyze their performance.
  • If signals are profitable, collaborate with technologists to put them into production.
  • Actively monitor the real‑time performance of deployed strategies.
  • Discuss evolution of strategies with researchers, strategists, and traders to collect feedback and brainstorm new ideas.
  • Repeat the cycle with new ideas that emerge.
What We’re Looking For
  • Honours or Master’s degree in a quantitative field (Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Economics).
  • Solid analytical problem‑solving and logical reasoning skills.
  • Exceptional communication skills, both in understanding others and expressing yourself clearly.
  • Experience writing code to process and analyze large data sets, especially in Python.
  • Experience in C++ or other low‑level languages is a plus.
  • Demonstrated interest in strategic games and/or competitive activities.
  • Ability to thrive in fast‑paced environments.
What’s in It for You
  • Market‑leading education program with classroom theory, simulated learning, and a secondment to our Philadelphia office.
  • Non‑hierarchical culture where employees at all levels can thrive and have an impact.
  • Highly competitive remuneration, attractive bonus, and additional leave entitlements.
  • Private healthcare and gym allowances, plus wellness initiatives.
  • Fully stocked kitchen with daily breakfast and lunch.
  • Regular social, sporting, and community events.
  • Visa sponsorship and relocation package where required.
Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities. If you have any questions, please contact sydneycampus@sig.com.

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