CAREERS

Join the Future of Intelligent Market-Making

Analytica IQ is built by thinkers, engineers, and innovators who believe in the power of data to make markets smarter. We’re a collective of quantitative researchers, technologists, and strategists shaping the next era of AI-driven liquidity — and we’re always looking for exceptional minds to join us.

Why Work at Analytica IQ

Precision. Speed. Integrity.

Innovation Culture

You’ll work on cutting-edge challenges where AI meets finance — building real systems that impact real markets.

Professional Growth

Continuous learning is part of our DNA. We offer access to advanced courses, mentorship programs, and collaboration with leading academic and industry researchers.

Competitive Rewards

Industry-leading compensation, performance-based bonuses, and equity participation for key contributors.

Health & Balance

Comprehensive healthcare, flexible scheduling, and wellness initiatives designed for long-term productivity and wellbeing.

Mission-Driven Impact

Our goal is to make markets more efficient and transparent — work that has a measurable effect on global systems every day.

Roles We Hire For

Quantitative Research & Data Science
Machine Learning Engineering
Market Operations & Trading Systems
Risk Management & Compliance
Software & Infrastructure Engineering
Business Development & Partnerships

Our Work Environment

We operate in a hybrid model — combining in-person collaboration
at our New York headquarters with remote flexibility for research and engineering teams.

Analytica IQ values diversity of thought, background, and approach; we believe the best models are built by diverse minds.

Your intelligence belongs where it makes a difference.

Apply today and help us build the markets of tomorrow.

View Open Positions

Be part of a team that’s shaping the future of intelligent analytics. We’re looking for brilliant minds passionate about turning data into insights.

Quantitative Analyst

Develop and implement advanced analytical models and trading strategies using statistical modeling and machine learning.

Requirements:

  • Advanced degree in quantitative field
  • Python/R programming
  • Statistical modeling experience
Apply
Software Engineer

Design and build scalable analytics platforms and data processing systems for real-time insights.

Requirements:

  • Computer Science background
  • Full-stack development
  • Cloud platform experience
Apply
Data Scientist

Build and deploy machine learning models for predictive analytics and intelligent decision-making systems.

Requirements:

  • MS/PhD in Data Science or related
  • ML/AI expertise
  • Experience with large datasets
Apply
Site Reliability Engineering Intern

Develop and deploy monitoring and automation tools to enhance visibility and reliability across production systems.

Requirements:

  • Pursuing a degree in Computer Science or Engineering,
  • Experience with Linux and scripting (Python, Bash),
  • Interest in automation and distributed systems
Apply
Private Equity Fund Controller

Oversee fund accounting, reporting, and portfolio analysis for a growth-focused investment firm.

Requirements:

  • Degree in Accounting, Finance, or Economics,
  • CPA or equivalent preferred,
  • Experience with fund management or financial controls
Apply
Quantitative Strategy Intern

Design and test data-driven trading strategies using statistical and computational methods.

Requirements:

  • Studying Math, Physics, Computer Science, or related field,
  • Strong coding skills in Python, C++, or R,
  • Understanding of statistics and probability,
Apply
Trading Systems Engineering Intern

Develop and optimize low-latency trading infrastructure to improve performance and reliability.

Requirements:

  • Enrolled in a Computer Science or Engineering program,
  • Experience with C++ or Python,
  • Interest in financial technology and high-performance systems
Apply
Associate Systems Engineer (Linux/Windows)

Support and automate large-scale server environments across Linux and Windows platforms.

Requirements:

  • Degree in Computer Science or IT,
  • System administration experience,
  • Knowledge of automation tools (Ansible, PowerShell, etc.)
Apply