Quantitative Analyst

About MultiBank Group

Founded in 2005 in California and now headquartered in Dubai, MultiBank Group is a global leader in financial services, specializing in advanced trading technology, exceptional liquidity, and superior customer support. We offer a wide variety of financial instruments including Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs. Our clientele exceeds 2 million clients across 100 countries, generating a daily trading volume surpassing US$ 35 billion. Regulated by over 18 financial authorities globally and honored with more than 80 awards, we remain committed to innovation and excellence, empowering our clients to meet their financial objectives.

Role Overview

We are looking for a hands-on Quantitative Analyst to join our Quantitative Dealing team, responsible for developing, verifying, and deploying data-driven models to deepen our insight into client behaviors, market trends, and trading activities. The role entails converting trading and business inquiries into solid analytical strategies, scalable data pipelines, and production-ready models. Close collaboration with the Quantitative Dealing team and other departments is essential, balancing thorough research with practical implementation on large-scale financial and trading datasets.

Key Responsibilities

• Create, test, and maintain quantitative and machine learning models using trading, client, and market data.
• Formulate clear research hypotheses from trading/business queries and develop measurable analytical solutions.
• Employ Python, PySpark, and SQL to gather, transform, and analyze extensive datasets from diverse trading systems.
• Engineer and document reliable features from transactional, market, and operational data.
• Apply statistical, machine-learning, and AI techniques to detect significant patterns and produce useful insights.
• Assess model accuracy, robustness, and interpretability; communicate limitations and recommendations to both technical and non-technical audiences.
• Build scalable data workflows and models within AWS infrastructure using tools such as Glue, SageMaker, and Athena.
• Assist in enhancing analytics tools, data pipelines, and model workflows continuously.
• Collaborate with Data Analysts and stakeholders to ensure data integrity and support complex analytical initiatives.
• Contribute to crucial desk projects including client profiling and market regime identification.

Qualifications and Requirements

• 3 to 5+ years of experience in quantitative analysis, data science, machine learning, or quantitative research roles.
• Advanced proficiency in Python for data analysis, modeling, feature creation, automation, and building production-level workflows.
• Strong SQL skills for manipulating large and complex datasets.
• Experience with distributed computing frameworks like PySpark.
• Proven ability in constructing and evaluating predictive models using supervised and unsupervised machine learning.
• In-depth understanding of statistical modeling, time-series analysis, model validation, and practical considerations for deployment.
• Familiarity with financial market datasets, particularly FX, CFD, or brokerage data is highly preferred.
• Experience integrating large language models (LLMs) into data and analytics workflows, including knowledge of their evaluation and limitations.
• Capable of deciphering and reconstructing complex trading and system event sequences into consistent analytical logic.
• Excellent communication and problem-solving abilities to present technical findings clearly.

Preferred Qualifications

• Experience with MetaQuotes MT4/MT5 trading databases and data structures.
• Hands-on knowledge of AWS analytics services such as Glue, Data Catalog, Athena, and SageMaker.
• Background in applying machine learning on client, market, or financial datasets.
• Familiarity with model governance including monitoring, reproducibility, version control, testing, and documentation.
• Understanding of brokerage functions like dealing operations, liquidity management, risk, and profit & loss reporting.
• Experience crafting analytical products or decision-support tools used by various business functions.
• A strong personal interest in financial markets demonstrated through study or practical experience.
• Degree in a quantitative field such as mathematics, statistics, computer science, physics, financial engineering, or equivalent.

Why Work With Us?

• Join an internationally recognized financial services company with a leading global presence.
• Receive a competitive salary package and comprehensive employee benefits.
• Access growing opportunities for professional development and career progression.
• Engage in a collaborative, diverse, and dynamic working atmosphere.
• Contribute to our culture of innovation, client-centric excellence, and performance-oriented success.
• Be part of a worldwide community focused on shaping the future of finance.