Full-Time

Operations Analyst

New York

Posted on 9/25/2023

XTX Markets

XTX Markets

201-500 employees

Algorithmic trading and liquidity provider

Data & Analytics

Compensation Overview

$90,000 - $110,000

Entry, Junior, Mid

New York, NY, USA

Required Skills
Python
Java
Data Analysis
Requirements
  • Approximately 0-2 years of experience in a transferable role. We are happy to accept recent graduates for this role but you must be able to start immediately full-time in our New York office
  • Bachelor's or master's degree with a minimum GPA of 3.5 in Mathematics, Engineering or Computer Science
  • Keen to learn new technical skills (we troubleshoot and/or write code every day)
  • Strong analytical and problem-solving skills
  • Diligent, focused and prepared to take ownership early on
  • Programming experience (Python, Java, Go) related to automation
  • Experience with Equities, Futures, FX and Options is advantageous
  • A demonstrated aptitude and interest in process improvement
Responsibilities
  • Trade support, including daily reconciliations of cash, positions, and trading activity
  • Liaising with counterparties and exchanges on daily issues
  • Building and maintaining automated processes
  • Working with the technology team to develop new tools and applications
  • Managing cash/collateral across multiple brokers and clearing houses
  • Production of various reports (including P&L, risk, treasury)
  • Live risk monitoring and escalation
  • Regulatory reporting monitoring
  • Onboarding new exchanges, counterparties, brokers, or products around the world as the business expands
  • Opportunities to gain exposure to various assets classes across the entire trade life cycle
  • Ad-hoc trade executions
  • Ad-hoc data analysis and report generation

XTX Markets is a leading algorithmic trading firm specializing in providing liquidity in the Equity, FX, Fixed Income, and Commodity markets. The company leverages modern computational techniques and state-of-the-art research infrastructure, including machine learning, C++, Python, and Go, to analyze large data sets across markets quickly and efficiently, maximizing the effectiveness of their proprietary trading algorithms.

Company Stage

N/A

Total Funding

N/A

Headquarters

, United Kingdom

Founded

2015

Growth & Insights
Headcount

6 month growth

2%

1 year growth

13%

2 year growth

35%
INACTIVE