Junior Quantitative Analyst

IC; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

IC is seeking a Junior Quantitative Analyst in Dubai to support senior researchers on live problems, working with production data that feeds decisions in pricing and risk. You will analyse trade, quote and client datasets to understand behaviour, and back-test models under supervision to ensure robustness.

You will also contribute to data-quality standards and document findings for non-quant readers, using Python and SQL with a strong emphasis on clarity and accuracy.

Qualifications

• Degree in a quantitative field (math, stats, physics, CS, engineering, or similar).
• Proficient in Python for data analysis and SQL for large datasets.
• Experience with hypothesis testing, regression and time-series methods.
• Interest in market microstructure and broker economics, learn on the job.
• Strong written communication and ability to document analyses clearly.

Responsibilities

• Analyse trade, quote and client datasets to characterise client behaviour.
• Build and back-test classification and signal models under supervision.
• Validate and stress-test existing models and check stability over time.
• Investigate anomalies and distinguish genuine signals from data defects.
• Contribute to data-quality standards across sources and definitions.
• Document findings clearly for non-quantitative readers.

Skills

Python for data analysis

SQL against large tables

Statistical analysis

Clear written communication

Education

Bachelor's degree in a quantitative field

Tools

C/C++

Job description

Role Description — Junior Quantitative Analyst, Quantitative Research (Trading)

Purpose of the role

Quantitative Research is the scientific engine of the Trading function. It builds, validates and maintains the models that describe how clients trade, how flow behaves, and where the firm earns or loses money in the pricing and risk process. Its output informs pricing, risk and routing decisions; it does not take those decisions, and independence of analysis is a defining feature of the function.

The Junior Quantitative Analyst supports senior researchers on live research problems, working on production data where results feed real decisions.

Responsibilities

• Analyse trade, quote and client datasets to characterise client behaviour, flow quality and execution outcomes.
• Build and back-test classification and signal models under supervision, including the tests that would falsify them.
• Perform validation and robustness work on existing models: stability over time, sensitivity to assumptions, behaviour under stressed conditions.
• Investigate anomalies and distinguish genuine changes in market or client behaviour from data or code defects.
• Contribute to data-quality standards across sources: completeness, refresh cadence, definitional consistency.
• Document findings clearly for non-quantitative readers, stating explicitly what the analysis does and does not support.

Skills and competencies

• Quantitative degree (mathematics, statistics, physics, computer science, engineering, quantitative finance or similar).
• Python for data analysis; SQL against large tables. Compiled-language exposure desirable.
• Applied statistics: hypothesis testing, regression, time series; judgement about when a result is noise.
• Working interest in market microstructure and broker economics; depth built on the job.
• Intellectual honesty: separates what is certain, inferred and guessed, and says so regardless of audience.
• Clear written communication.