Software Developer | MMA Development | Experienced Hire

Quant Blueprint LLC

Bala Cynwyd (PA)

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

Quant Blueprint LLC is seeking a Software Developer to work on low-latency trading systems and enhance trading infrastructure. Candidates should have a Bachelor's degree in computer science or a related field and at least 3 years of experience with object-oriented programming, preferably in C++, Python, or C#.

The role involves developing high-performance code, conducting technology research, and creating efficiency tools for trading activities.

This position offers opportunities for professional growth and mentorship in a collaborative environment.

Qualifications

  • 3+ years of experience developing software applications using an object-oriented language.
  • Strong software development skills in any object-oriented language.

Responsibilities

  • Designing and developing low-latency trading systems.
  • Developing high performance low level C++ code for market data processes.
  • Conducting technology research projects related to scale and performance.
  • Developing applications and services to store trading activity.
  • Creating tools to improve system efficiency.

Skills

Object-oriented programming
C++
Python
C#

Education

Bachelor's degree in computer science, engineering, mathematics or related discipline

Job description

Overview

As a Software Developer at Susquehanna, you'll work alongside experienced software engineers on the development, delivery, support, and enhancement of our trading systems and infrastructure. With guidance and mentoring from your team, you'll get hands-on experience beginning on your first day. In addition, we customize a learning and development plan to help you get to know the people you'll be working with, what your team is responsible for, and our technical environment. This plan includes a combination of technical classes as well as overviews of our technology teams that will enhance your knowledge and allow you to grow further within your team.

We place software developers across our trading, business, and technology teams. Throughout the interview process, we'll discuss your skills and goals so we can match you with the team where you'll be successful from day one.

What You Could Work On
  • Designing and developing low‑latency trading systems for our trading desks
  • Developing high performance low level C++ code for handling the first steps of our market data processes
  • Conducting technology research projects related to scale and performance with open‑source tools
  • Developing applications and services that receive and store trading activity
  • Creating tools to improve system efficiency using performance data
What we're looking for
  • Bachelor's degree in computer science, engineering, mathematics or related discipline or its foreign equivalent plus 3+ years of progressive experience developing software applications using an object‑oriented language.
  • Strong software development skills in any object‑oriented language (we use C++, Python, and C# the most)
  • Visa sponsorship is available for this position.
About Susquehanna

Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.

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