Quantitative Data Engineer

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Hong Kong
Remote
Mid level
Financial Services
The Role
Build and onboard financial datasets for quantitative researchers and traders. Extract, clean, aggregate, and validate data from diverse sources, solve data-quality issues, develop novel extraction methods, and support stakeholders using complex datasets. The role requires advanced Python and data-handling skills, SQL knowledge, financial-market interest, strong communication, documentation abilities, and effectiveness in a high-performance environment.
Summary Generated by Built In

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for a Quantitative Data Engineer to join the Data Search & Analytics team. In this role, you will work with the Research and Trading desks to ensure the successful leveraging of data at the firm.

Your future role within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

  • Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and discretionary trading decisions.
  • Working within our framework to extract, clean, and aggregate data from a wide range of raw sources and formats ensuring robust data extraction processes
  • Managing end-to-end process of onboarding new datasets
  • Proactively solving data related problems to minimise time to production
  • Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit

Your present skillset

  • 3+ years of experience as a Data Engineer (or similar position) working with financial data; experience in a buy-side quantitative finance role is advantageous
  • Rigorous about correctness: able to critically assess code and data quality, regardless of origin
  • Experience using AI-powered development tools to accelerate engineering tasks and improve productivity
  • Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas, Polars and NumPy
  • Familiarity with SQL and relational databases
  • Demonstrable interest in financial markets and the application of data in its analysis and understanding
  • Experience working with both traditional and alternative financial datasets
  • Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
  • Experience creating documentation and providing direct support to help stakeholders understand and use complex datasets quickly
  • Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Skills Required

  • 3+ years of experience as a Data Engineer or similar role working with financial data
  • Experience in a buy-side quantitative finance role
  • Ability to critically assess code and data quality
  • Experience using AI-powered development tools
  • Advanced Python programming experience, including Pandas, Polars, and NumPy
  • Familiarity with SQL and relational databases
  • Interest in financial markets and applying data to financial analysis
  • Experience with traditional and alternative financial datasets
  • Excellent communication and stakeholder collaboration skills
  • Experience creating documentation and providing direct stakeholder support for complex datasets
  • Ability to work in a high-performance, high-velocity environment

Qube Research & Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.

  • Wellbeing & Lifestyle Benefits Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
  • Leave & Time Off Breadth Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
  • Healthcare Strength Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.

Qube Research & Technologies Insights

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The Company
HQ: London
774 Employees

What We Do

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments

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