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VG

Quantitative Research Analyst

Verition Group LLC

AED 100,000 - AED 200,000 / year

Dubai, Dubai, United Arab Emirates; Greenwich, Connecticut, United States; Hong Kong; London, England, United Kingdom; New York, New York, United States; Norwalk, CT; SingaporeFull-timeOn-siteIntermediate

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Description

Firm Overview

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Fixed Income & Macro, Event & Multi-Asset RV, Equity L/S & Capital Markets, and Quantitative Trading.

Role Overview

As a quant researcher on one of our world class quant trading teams, you’d responsible for developing and implementing complex models and algorithms that inform on investment strategies, risk management, and financial decision-making. This role requires a blend of statistical analysis, algorithm development, and deep understanding of financial markets.

Responsibilities

  • Develop and implement models and strategies focused on alpha generation across various asset classes. Use statistical and machine learning techniques to identify market inefficiencies.
  • Perform complex data analysis to uncover patterns and predictive signals in market data. Create robust financial models for forecasting and risk assessment.
  • Quantitative Research: Conduct research to understand market dynamics and investor behavior. Apply quantitative methods to develop strategies that capitalize on market anomalies and trends.
  • Design algorithms for efficient trade execution and portfolio optimization, ensuring they align with alpha-generation goals.
  • Work closely with portfolio managers and traders, providing them with actionable insights and recommendations for alpha-generating strategies.
  • Continuously monitor and analyze the performance of deployed strategies. Refine and adjust approaches based on market feedback and performance data.
  • Effectively communicate complex quantitative strategies and findings to stakeholders, including non-technical audiences, to inform decision-making processes.

Qualifications

  • Degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Solid experience in quantitative analysis with a proven track record in alpha generation.
  • Strong skills in Python, R, MATLAB, or similar tools for complex data analysis and model development.
  • Exceptional skills in statistical analysis and modeling, with a focus on predictive analytics and pattern recognition.
  • Ability to think creatively to identify new opportunities for alpha generation.
  • Excellent verbal and written communication skills for effective collaboration and presentation of findings.
  • Experience with machine learning, AI, and big data analytics in finance is a plus
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.
Salary Range
$100,000—$200,000 USD

Benefits

  • stock options

About this role

Verition is seeking a quantitative researcher to join one of its specialized trading teams in Dubai, working on model development and strategy implementation across the firm's multi-strategy hedge fund operations. You would spend your time building statistical and machine learning models to identify alpha opportunities, analyzing market data for predictive signals, and designing algorithms for trade execution and portfolio optimization. The work bridges research and application—you'll develop strategies, monitor their real-world performance, and iterate based on results while collaborating closely with portfolio managers and traders.

The role demands strong technical foundations in Python, R, MATLAB, or equivalent tools, paired with deep statistical and modeling expertise. You should have a quantitative degree (mathematics, physics, computer science, statistics, or financial engineering) and proven experience generating alpha through quantitative methods. Beyond the technical skills, the position values intellectual curiosity, clear communication of complex findings to both technical and non-technical audiences, and the ability to thrive in a fast-paced team environment. Experience with machine learning and big data analytics in finance is valued but not required.

This is an in-office position in Dubai with a salary range of $100,000 to $200,000 USD, suited to someone who wants to apply rigorous quantitative methods to live trading strategies at an established multi-strategy firm.

This role's local market on JobMinglr

Pay for this role

$100,000 to $200,000 per year

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