Requirements
Candidates must have a degree in a quantitative field (Mathematics, Statistics, Physics, Computer Science, or Financial Engineering) and 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, along with exceptional skills in statistical analysis and modeling, are required. Experience with machine learning, AI, and big data analytics in finance is a plus.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Finance, Investment & Asset Management
Company Overview
Verition Fund Management LLC (Verition) is a multi-strategy, multi-manager hedge fund founded in 2008 with 14B+ in AUM. This role would be specifically in the Quant Strategies Group.
Role Overview
As a quant researcher on one of our world class quant trading teams, you would be 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.
Conduct quantitative 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.
Salary Range
$100,000-$200,000 USD
Apply Now