Schonfeld

HQ
New York
Total Offices: 2
515 Total Employees
Year Founded: 1988

Schonfeld Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers generous parental leave

Offers employee discounts

Work-Life Balance + Wellbeing

Offers generous PTO

Offers gym membership

Career Growth + Development

Job training & conferences

Company Culture

Offers a remote work program

Recently posted jobs

4 Minutes AgoSaved
In-Office
New York, NY, USA
Consulting • Quantitative Trading
Leads strategic, cross-functional initiatives across investment, operating, and management platforms. Develops project roadmaps, milestones, requirements, and impact assessments; coordinates business stakeholders, technology partners, subject-matter experts, and senior leaders. Drives planning, execution, transparency, and organizational alignment while addressing complex business challenges. Requires financial services experience, strong project management and communication skills, data literacy, and familiarity with financial markets and trade lifecycles.
5 Minutes AgoSaved
In-Office
New York, NY, USA
Consulting • Quantitative Trading
Manage workplace experience and office operations across multiple Americas offices. Lead a team of five, oversee front-desk services, onboarding, events, space planning, relocations, vendors, contracts, budgets, inventory, and employee experience initiatives. Coordinate with HR, Facilities, IT, senior stakeholders, building management, and global teams. Standardize processes, train staff, monitor service quality, manage performance, and drive continuous improvements while supporting a fast-paced corporate environment.
13 Days AgoSaved
In-Office
New York, NY, USA
Consulting • Quantitative Trading
Build and productionize AI-powered solutions embedded with investment, corporate, and engineering teams. Responsibilities include designing agentic workflows, developing agents and prompts, gathering requirements, owning delivery through production, conducting user acceptance testing, iterating from stakeholder feedback, and contributing reusable patterns to AI platform teams. The role requires Python engineering, cloud and Kubernetes experience, comfort with messy financial data, product judgment, and strong communication with nontechnical users.