Jobs at Verition Fund Management

Lead the architecture and hands-on development of Treasury Engineering systems supporting financing, funding, margin, repo, and treasury workflows. Build scalable, low-latency applications for near-real-time trade processing, improve system performance and resiliency, mentor engineers, guide technical standards, and own production stability. Collaborate with portfolio finance, repo trading, quantitative research, and engineering stakeholders to deliver robust cloud-native solutions.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

Design, build, and maintain systems to calculate and manage margin, financing interest, and funding costs. Develop scalable near-real-time trade processing and portfolio optimization services. Collaborate with engineers, researchers, portfolio finance and traders to improve performance, resilience, and data access patterns while owning Treasury systems and workflows.

A 10-week platform internship supporting teams such as Data, Finance, Operations, Risk, Technology, Treasury, HR, Marketing, and Business Development. Interns contribute to strategic projects, automate processes and workflows, build dashboards and tools, improve operational efficiency, use AI tools, participate in a trading simulation, and present work to senior leaders.

Ten-week technology internship at a multi-strategy hedge fund. Interns join a technology team and contribute to data ingestion, high-performance processing, modeling, portfolio and risk management, live execution, and post-trade analysis. The program includes strategic projects, trading simulations, mentorship, professional development, and presentations to senior leaders. Candidates should have a STEM background, programming experience, machine learning and AI knowledge, strong analytical and communication skills, and interest in financial services.

Ten-week investment internship supporting a portfolio management team at a multi-strategy hedge fund. Responsibilities include identifying and evaluating data-driven investment insights, contributing to strategic projects, participating in a trading simulation, and presenting work to senior leaders. Interns receive mentorship, exposure to investment and platform teams, professional development, and networking opportunities.

Design, operate, and improve Verition's global network platform across datacenters, cloud, and internet edge. Build high-performance datacenter fabrics (EVPN/VXLAN, BGP, leaf-spine), WAN and market connectivity, security, observability, and low-latency optimizations. Automate provisioning, configuration, validation, and monitoring using Python, APIs, Git, and IaC tools. Partner with cross-functional teams, provide production support/on-call, and drive platform reliability, performance, and scalability improvements.

Work with Operations, Trade Support, and Technology to identify AI automation opportunities across the trade lifecycle. Build, pilot, and maintain lightweight automations and scripts (Python, SQL), design prompts, support UAT, monitor AI workflows, document processes, and measure impact against operational KPIs while managing risks and stakeholder communication.

Manage end-to-end US payroll for all entities, ensuring accurate, compliant processing of wages, taxes, benefits, and deductions; partner with HR and vendors; improve payroll processes, support audits, and onboard new locations.

Lead and manage the Long/Short Equity analyst development program, including building relationships, creating and delivering training content, coordinating teach-ins and events, supporting evaluations and promotions, and providing targeted coaching to analysts to improve fundamental equity research skills and career progression.

Responsible for developing custom equity factors, reviewing exposures, creating risk management tools, and providing equity advisory services, with 7+ years of experience.

The PM Engagement Analyst supports the senior PM Engagement team by enhancing research workflows, analyzing portfolio performance, and leveraging data analytics using Python and SQL.

Perform quantitative analysis and build models/tools to inform equity long/short investment and business decisions. Analyze performance, risk attribution, and portfolio construction; run statistical tests; implement process improvements; apply AI tools to accelerate research; present findings to senior stakeholders and partner with PMs, trading, operations, technology, data, and research teams.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

Own, automate, and operate the firm's Linux fleet across data centers and cloud regions. Perform kernel- and system-level performance tuning for latency-sensitive systems. Build deployment, configuration, patching, and monitoring automation in Python and configuration management. Define and enforce Linux security baselines. Provide production support and on-call participation, mentor teammates, and contribute to OS-platform strategy and integration with CI and infrastructure teams.

Own and operate the firms Windows Server fleet and Active Directory/Entra ID hybrid identity, automate deployment/patching/monitoring with PowerShell and configuration management, define Windows security baselines, tune servers for low-latency workloads, provide production support and on-call, collaborate on OS-platform strategy, and mentor engineers on Windows internals and automation.

Manage tax compliance and planning for high-net-worth principals, trusts, estates, and investment entities. Oversee outside accounting firms, coordinate with attorneys and trustees, review tax returns, maintain books and tax calendars, support estate, gift, trust, partnership, and multi-state tax planning, and improve internal tax processes and controls.

Monitor Equity Long/Short portfolio exposures, run stress tests, track risk metrics, and support position oversight (concentration, leverage, liquidity, correlation). Produce regular and ad hoc risk reports, partner on model validation and enhancements, ensure adherence to risk limits, and liaise with portfolio managers.