As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.
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 Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.
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
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Drives global go-to-market execution and partner growth for Mastercard’s SME ecosystem. Develops issuer activation frameworks, launch playbooks, enablement materials, adoption dashboards, governance routines, and performance insights. Coordinates Product, Sales, Services, Account Management, and regional teams to scale partner solutions, improve SME customer activation and utilization, and identify execution barriers. Supports partner business reviews, growth planning, best-practice sharing, and executive recommendations without directly owning regional execution.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Collects, analyzes, and disseminates threat intelligence covering geopolitical, cyber, fraud, and physical security risks. Produces risk assessments, briefs executives, partners with security, crisis management, government, law enforcement, and industry stakeholders, and supports threat scenarios for red teaming, exercises, and resilience testing.
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Provides expert L3 administration, troubleshooting, and operational support for Microsoft Exchange, Active Directory, Entra ID, Windows Server, Microsoft 365, Azure, and collaboration platforms. Leads complex incident resolution, root-cause analysis, patching, upgrades, vulnerability remediation, PowerShell automation, documentation, and recovery procedures. Supports enterprise hybrid infrastructure, Azure Virtual Desktop, Intune, SharePoint, SCCM/MECM, and SCOM while collaborating across infrastructure, security, network, application, and vendor teams.
Top Skills:
Active Directory Domain ServicesAd/Entra ConnectAzureAzure Virtual DesktopDnsEnterprise VaultExchange HybridExchange OnlineFslogixGroup PolicyHpsmIntuneMicrosoft 365Microsoft Entra IdMicrosoft Exchange On-PremisesPowershellSccm/MecmScomServicenowSharepointWindows Server
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
