Quant Trading QA Engineer
Quant Trading QA Engineer

Quant Trading QA Engineer

Liverpool Full-Time 43200 - 72000 £ / year (est.) No home office possible
A

At a Glance

  • Tasks: Lead the testing strategy for our innovative trading applications and systems.
  • Company: Join a cutting-edge proprietary trading firm focused on cryptocurrency derivatives.
  • Benefits: Enjoy highly competitive pay, bonuses, and a fully remote work environment.
  • Why this job: Contribute to groundbreaking projects in quantitative finance and cloud computing.
  • Qualifications: 5+ years in QA with a STEM degree; experience in low-latency financial applications preferred.
  • Other info: Opportunity for permanent position after initial contract; hands-on development with KDB+/q.

The predicted salary is between 43200 - 72000 £ per year.

Location: Remote (Europe) Type : Full-time, 12-month contract with an initial 3-month probationary period (possibly leading to a permanent position) Compensation : Highly competitive, based on experience Company & Role Overview: We are a proprietary trading firm that leverages cutting-edge technology to excel in cryptocurrency derivatives markets. We are currently focused on the first iteration of a real-time, cloud-based quantitative analysis pipeline that produces price & volatility forecasts and optimises our quoting strategy for our market-making activities. We will then look to integrate and interweave more models, data and approaches, such as ARIMA, LPPLS, RL/DL with LSTMs, and on-chain analysis for enhanced forecasting, crash protection strategies, sentiment analysis and other applications. As our Senior QA Engineer you’ll work closely with our Engineering, DevOps, Quantitative Research and Trading teams, taking the lead in shaping and driving our testing strategy. This means blending innovation with established standards to design, develop, execute and maintain a solid, scalable testing infrastructure that ensures our trading applications and supporting systems remain robust and performant. You’ll also have the chance to get hands-on with KDB+/q development if that sparks your interest. Key Responsibilities: Design and implement scalable, robust, apt, and efficient (automated) testing systems, frameworks and interfaces that provide actionable results and visibility across our technology stack throughout development and in production Balance maximal, continuous test coverage with efficiency and prioritisation to manage resources Collaborate to identify testing surfaces and scenarios and strategize appropriately, writing and executing high quality test cases for numerous systems and environments Identify, document and track issues from observation to resolution Maintain high-quality documentation of QA systems, processes and test cases Work with teams across the organisation to align deliverables with business needs and advocate for quality throughout project lifecycle Contribute to data-driven insights that identify our strengths and opportunities for growth Areas of Collaboration: Pipeline (KDB+/q) : unit, integration, performance & stress testing of pipeline core components, simulating heavy load, and intense, erratic market conditions Quantitative Models (KDB+/q, C++, Python) : unit, integration, performance & back testing of implementations of such as GARCH, SVI and Optimal Market Making Cloud Infrastructure (AWS) : support performance & deployment testing as needed Additional Tools (NodeJS / Python) : unit, integration testing of other internal tools as needed Key Qualifications : Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related STEM field, ideally combined with QA certification (e.g. CSQA, ISTBQ) 5+ years of experience operating and developing tests, testing frameworks and automation strategies for low-latency, cloud-based, dockerized financial or real-time data processing applications, ideally including KDB+/q Comprehensive understanding of current approaches such as BDD, Shift-Left & Shift-Right, Continuous and Risk-Based Extensive experience with related tooling: Python and shell scripting, unit testing & mocking libraries, CI/CD & test management tools, performance & load-testing kits, version control, defect tracking, test data generators, Markdown, etc. Preferred Skills : Familiarity with financial mathematics, stochastic processes, time-series modeling, and an understanding of derivatives, tick data, order books, and implied volatility surfaces Experience in testing C++ applications Familiarity with cryptocurrency markets and exchange dynamics Experience in security testing for cloud-based applications Experience in testing IaC, particularly in AWS Why Join Us : Creatively apply and deepen your expertise at the cutting edge of the rapidly-emerging field of cryptocurrency Position yourself to contribute to innovative combinations of quantitative finance, ML, cloud-computing and trading strategy tailored to cryptocurrency markets Highly competitive pay, including bonuses, and the opportunity to join us permanently Be a fundamental force in shaping the infrastructure and systems of a growing trading firm Enjoy a flexible, collaborative and empowering fully remote work environment

Quant Trading QA Engineer employer: A1X

Join our innovative proprietary trading firm as a Quant Trading QA Engineer and immerse yourself in the dynamic world of cryptocurrency derivatives. We offer a highly competitive compensation package, including bonuses, and the potential for permanent employment after your initial contract. Our fully remote work culture fosters collaboration and empowerment, providing you with the opportunity to creatively apply your expertise while contributing to cutting-edge technology and shaping the future of trading.
A

Contact Detail:

A1X Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant Trading QA Engineer

✨Tip Number 1

Familiarize yourself with KDB+/q and its applications in quantitative finance. Since this role involves hands-on development with KDB+/q, having a solid understanding of its functionalities will set you apart from other candidates.

✨Tip Number 2

Showcase your experience with automated testing frameworks and CI/CD tools. Highlight specific projects where you've implemented these strategies, as they are crucial for the role and demonstrate your ability to maintain high-quality standards.

✨Tip Number 3

Emphasize your collaboration skills. This position requires working closely with various teams, so be prepared to discuss how you've successfully collaborated on past projects to drive quality and efficiency.

✨Tip Number 4

Stay updated on cryptocurrency market trends and technologies. Understanding the dynamics of the crypto space will not only help you in interviews but also show your genuine interest in the field and the company’s mission.

We think you need these skills to ace Quant Trading QA Engineer

Automated Testing
Testing Frameworks
Cloud-Based Applications
KDB+/q Development
Performance Testing
Load Testing
Continuous Integration/Continuous Deployment (CI/CD)
Python Scripting
Shell Scripting
Unit Testing
Mocking Libraries
Defect Tracking
Test Management Tools
Financial Mathematics
Time-Series Modeling
Stochastic Processes
Security Testing
Infrastructure as Code (IaC)
Collaboration Skills
Documentation Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in QA engineering, particularly in low-latency and cloud-based applications. Emphasize your familiarity with KDB+/q and any experience you have with financial mathematics or cryptocurrency markets.

Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative trading and technology. Discuss how your background aligns with the key responsibilities of the role and mention specific projects or experiences that demonstrate your skills in testing frameworks and automation strategies.

Showcase Relevant Skills: Clearly list your technical skills related to the job description, such as Python, CI/CD tools, and performance testing. If you have experience with specific methodologies like BDD or Shift-Left, make sure to include those as well.

Highlight Collaboration Experience: Since the role involves working closely with various teams, provide examples of past collaborations. Mention how you contributed to aligning deliverables with business needs and advocated for quality throughout the project lifecycle.

How to prepare for a job interview at A1X

✨Understand the Technology Stack

Make sure you have a solid grasp of the technologies mentioned in the job description, especially KDB+/q, Python, and AWS. Familiarize yourself with how these tools are used in quantitative trading and be ready to discuss your experience with them.

✨Showcase Your Testing Strategies

Prepare to talk about your previous experiences in designing and implementing testing frameworks. Highlight specific examples where you balanced test coverage with efficiency, and how you managed resources effectively in a fast-paced environment.

✨Demonstrate Collaboration Skills

Since the role involves working closely with various teams, be ready to share examples of how you've successfully collaborated with engineering, DevOps, or quantitative research teams in the past. Emphasize your ability to advocate for quality throughout the project lifecycle.

✨Prepare for Technical Questions

Expect technical questions related to low-latency applications, performance testing, and possibly even some coding challenges. Brush up on your knowledge of financial mathematics and time-series modeling, as these topics may come up during the interview.

Quant Trading QA Engineer
A1X
A
  • Quant Trading QA Engineer

    Liverpool
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-01-23

  • A

    A1X

Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>