Quantitative Research & Technology – All Levels

Newbridge; Abu Dhabi; On-site; AED 180,000 - 320,000; Full time

Job summary

Newbridge in Abu Dhabi seeks researchers at all levels who enjoy hard problems, data, and testing ideas in live markets. You’ll join a multidisciplinary team of mathematicians, physicists, computer scientists, statisticians, and engineers, collaborating to push the boundaries of systematic investing.

Your work spans forming hypotheses on large datasets, building models and signals, and translating research into production trading systems with robust monitoring and scalable deployment.

Qualifications

• Education preference: advanced STEM degree; bachelor may be considered with exceptional track record.
• Experience: across all levels; show what you built and learned.
• Skills: quantitative research, statistical modeling, software engineering, distributed systems, data engineering, or ML.
• Attributes: intellectual curiosity, ownership, low ego, bias for action; love peer review and fast feedback.
• Domain Knowledge: no prior investment or finance experience required; we hire for talent.

Responsibilities

• Formulate and test hypotheses using large, complex datasets.
• Develop models and signals grounded in statistics and economics.
• Design and build data, compute, and trading infrastructure for faster research and reliable deployment.
• Translate research into production and ensure strategies are robust and scalable.

Skills

quantitative research

statistical modeling

software engineering

distributed systems

data engineering

ML

communication

Education

Advanced STEM degree

Bachelor's with exceptional track record

Job description

We're building a world-class team to solve the most difficult and unsolved problems in systematic investing. Our clients mission is to combine scientific rigor, exceptional engineering, and relentless curiosity to discover and deploy new sources of alpha at scale.

To do that, we're hiring across all levels of experience — from exceptional mid level researchers to seasoned leaders. If you're motivated by hard problems, deep research, and the chance to see your ideas tested in live markets, we want to hear from you.

Who Thrives Here

We look for three core traits, often in the same person:

1. Scientific Mindset: You're driven by hypotheses, data, and evidence. You value intellectual honesty, careful experimentation, and the discipline to let results — not ego — decide what works.
2. Technical Excellence: You build. Whether it's research code, production systems, or novel data pipelines, you have exceptional skills in technology and development and take pride in craftsmanship.
3. Problem-Solving Grit: You approach open-ended challenges with curiosity and persistence. You're comfortable with ambiguity, you decompose complexity, and you iterate until you crack it.

Our Environment

You'll join a collegial, multidisciplinary team where mathematicians, physicists, computer scientists, statisticians, and engineers work side by side. Deep experts complement each other's skills, share knowledge openly, and invest in each other's professional growth. Ideas win on merit. Bureaucracy loses. We optimize for learning velocity and impact.

What You'll Work On

While roles differ by team and level, common themes include:

• Research: Formulate and test new hypotheses using large, complex datasets. Develop models and signals grounded in statistics and economic intuition.
• Technology: Design and build the data, compute, and trading infrastructure that lets us research faster and deploy strategies reliably.
• Implementation: Translate research into production. Ensure strategies are robust, scalable, and continuously monitored.

Qualifications

• Education: An advanced degree in a STEM discipline — Science, Technology, Engineering, or Mathematics — is preferred. Bachelor's with exceptional track record also considered.
• Experience: We're recruiting across all levels. Whether you're finishing a PhD, 2 years into industry, or 15 years into leading teams, show us what you've built and what you've learned.
• Skills: Demonstrated excellence in one or more of: quantitative research, statistical modeling, software engineering, distributed systems, data engineering, or ML. Clear, logical communication is essential.
• Attributes: Intellectual curiosity, high ownership, low ego, and a bias for action. You should be energized by peer review and fast feedback loops.
• Domain Knowledge: No prior investment or finance experience is required. We hire for talent and teach you the markets.