Tower Research Capital LLC

Tower Research Capital LLC

Market Data Strategist

New York

Sponsorship not specified$120k-$170kDetected 18 hours ago
Machine LearningInventory ManagementFPGAResearch

About the role

  • We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.
  • Tower is home to some of the world's best systematic trading and engineering talent.
  • Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning.

Responsibilities

  • Engage with internal stakeholders including members of Trading and Engineering to define and support new and existing use cases
  • Design and implement robust data strategies and governance policies that align with business objectives, including identifying key market trends, analyzing competitor data, and guiding decision-making
  • Manage exchange usage and reporting, audits, and compliance of market data
  • We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.
  • Engineers thrive at Tower while developing electronic trading infrastructure at a world class level.
  • Our Business Support teams enable our trading and engineering teams to perform at their best.
  • Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world.

Requirements

  • A detailed knowledge of the language and structure of market data policies with a focus on unit of count and derived data
  • A solid understanding of market data pricing models and metrics with the ability to provide alternative sourcing and contracting options
  • Familiarity with global vendor platforms, products, entitlement systems such as VBD, BPIPE, EMRS, and DACS, and inventory management systems such as FITS and MDM
  • Experience working with and seeing market data audits through from inception to completion
  • A proven self-starter who can work independently and within a team while effectively managing multiple priorities
  • Strong strategic thinker and problem solver with attention to detail
  • Reliable and predictable partner who can be counted on by team members, senior staff, and external counterparties
  • Relevant experience at a top buy-side (hedge fund, prop trading firm) institution

Compensation

  • $120,000-$170,000, plus eligible for discretionary bonus

Benefits

  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Workshops and continuous learning opportunities

Company info

  • As a Market Data Strategist within our Data Strategy group, you will be part of the team that is responsible for identifying, sourcing, and increasing the overall awareness and effectiveness of external datasets used in Tower Research Capital's trading environment.
  • Tower Research Capital is a leading quantitative trading firm founded in 1998.
  • Tower has built its business on a high-performance platform and independent trading teams.
  • Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance.
  • Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services.
  • At Tower, we believe work should be both challenging and enjoyable.

Equal opportunity

  • Tower Research Capital is an equal opportunity employer.

This listing is sourced directly from Tower Research Capital LLC's careers page and normalized into a canonical job model.