Verition Fund Management
From Verition Fund Management's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
Department Overview
The Technology and Strats (Quant) teams build and operate the engineering platform behind the firm's investment activity and business functions globally. Working alongside the investment teams to create edge in research, portfolio construction, execution and risk management, and applying machine learning and AI across both the investment process and the firm's platform operations. Strategic Analytics ("Strats"), with its quantitative researchers and developers, partner directly with Portfolio Managers and the businesses on strategy-specific research, models, signals, backtesting and execution, while building the shared pricing, analytics and research infrastructure used across strategies. The core Technology teams own the firm's market, reference and alternative data platform; the infrastructure including cloud, compute, developer tooling, security and connectivity that everything at the firm runs on.
Design, build, and maintain systems to calculate and manage margin requirements, financing interest, and funding costs across asset classes.
Design and build scalable systems for near real-time trade processing and portfolio optimization.
Collaborate with global team of software engineers, quantitative researchers, Portfolio Finance, Repo traders to deliver robust solutions
Improve performance and resilience of existing services, and optimize data access patterns.
Maintain open curiosity and an ownership mentality of all aspects of our Treasury systems & workflows
Bachelor's degree in Computer Science, Engineering, or a related technical field
3+ years of hands-on experience in a professional software development environment
Working experience in Python, Java, or other object-oriented programming languages
Strong computer science fundamentals, analytical abilities, and problem-solving skills
Experience with AWS or other cloud technology is a plus
Familiarity with relational database systems and SQL (e.g., Oracle DB, PostgreSQL)
Knowledge of global portfolio financing/funding, trading workflows, or post-trade lifecycle processes is a plus
Excellent communication and teamwork skills to effectively collaborate with global team members
Ability to manage multiple tasks in a dynamic environment
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