Squarepoint Capital Logo

Squarepoint Capital

Software Developer - Risk Data Pipelines

Posted 13 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
As a Software Developer in Risk Data Pipelines, you will design, develop, and deliver software for risk management, collaborating with trading and quantitative teams.
The summary above was generated by AI

Position Overview:

Risk Technology develops core services and systems required by Squarepoint’s systematic and quantitative trading strategies, such as real-time risk controls, position/inventory/P&L monitoring, internal order routing, and various pre and post-trading services.

Risk Data Pipelines develops software on top of the core Risk Technology platform to handle market or asset-class specific processing, including:

  • Trade Data Ingress - Normalize and stream trade data to Squarepoint's systems from trading platforms like Bloomberg, Fidessa and SpiderRock.
  • Trade Data Egress - Feeds to 3rd party platforms to ensure trade booking correctness and regulatory compliance.
  • Services and analytics used by investment and quant teams to understand Risk exposure, P&L and to improve capital efficiency.
  • Automation of trading operations to support the growth of the business, such as the management of options & future expiry and automated trade, position and P&L reconciliation.

This role provides an opportunity to learn many aspects of the way hedge funds operate through close collaboration with trading and quantitative teams, and as a developer you will:

  • Design, develop and deliver high quality and maintainable business critical software.
  • Work closely with stakeholders and colleagues to capture requirements, define architecture and technologies, identify and resolve bottlenecks, and deliver functionality.
  • Lead and contribute to design discussions and mentor other team members.
  • Participate in level 2 support.

Required Qualifications:

  • Bachelor’s degree in computer science or related subject.
  • 4 years’ minimum Python experience working in the financial industry.
  • Team player with excellent communication skills.
  • Experience with database management systems and related technologies such as SQL.
  • Knowledge of traded financial instruments (Equity, FX, Credit or Rates).

Nice to Have:

  • Experience of FIX protocol
  • Experience developing in data engineering (using Python with pandas, R, Julia)
  • Experience with KDB+/q


Top Skills

Fix
Julia
Kdb+/Q
Pandas
Python
R
SQL

Squarepoint Capital Montréal, Québec, CAN Office

1190 Avenue des Canadiens-de-Montréal, Montréal, Quebec, Canada, H3B0G7

Similar Jobs

2 Days Ago
Easy Apply
Hybrid
Montréal, QC, CAN
Easy Apply
Mid level
Mid level
Fintech • Financial Services
Develop and enhance low latency data processing systems while collaborating with research and trading teams, ensuring performance and scalability.
Top Skills: BoostC++LinuxStl
2 Days Ago
Remote
Hybrid
4 Locations
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead backend engineering efforts, design and develop scalable systems, handle critical production issues, and mentor team members in a fast-paced environment.
Top Skills: Aws CloudCassandraGitGoJava8KafkaOpensearchPostgresPythonRedis
3 Days Ago
Remote
Hybrid
Montréal, QC, CAN
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Staff Research Scientist/Engineer, you will develop AI-powered solutions and LLMs for enhancing enterprise language generation, collaborating on innovative products and conducting essential research.
Top Skills: AICursorLlmMlPythonWindsurf

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account