---
title: 'Manager of CTA Intraday Monetization at Squarepoint Capital'
canonical: 'https://feeny.ai/job/manager-of-cta-intraday-monetization-squarepoint-capital-new-york-888tm5m155zk'
type: 'job'
last_seen: '2026-10-20'
---

# Manager of CTA Intraday Monetization at Squarepoint Capital

- **Company:** Squarepoint Capital
- **Location:** New York, NY
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-20
- **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=8265573&gh_jid=8265573

## Job description

Squarepoint Services US LLC seeks a Manager of CTA Intraday Monetization for its New York, New York location.

We are looking for a Manager of CTA Intraday Monetization who, on behalf of an investment management firm, will oversee and manage the formulation of mathematical models for investment strategies based on independent quantitative analysis, performing the following duties:

- Identify suitable objective functions for fitting parameters to enhance trading strategies.
- Manage the implementation and improvement of trading strategies; analyze existing strategy behavior and propose and implement improvements using KDB/Q and Python.
- Direct the implementation and use of computer algorithms to solve resulting optimization problems.
- Guide and direct team in employing mathematical models and statistical techniques, including regression analysis, machine learning algorithms, and statistical inference, and apply financial knowledge and computer skills to enhance investment strategies for futures and other asset classes.
- Lead the modeling and analysis market impact and control trading costs of systematic futures and FX trading strategies based on knowledge of market structure.
- Lead new trading ideas pitches to senior management.
- Lead sophisticated analyses to reveal previously unknown statistical effects, assess their robustness, and implement systematic strategies to monetize such effects.
- Manage testing and validation of both simulation and live trading applications.
- Oversee application development utilizing Shell scripts and Python to automate daily routines for processing data in support of trading strategies.

Required Qualifications:

- Master’s Degree in Business Analytics, Mathematical Finance, or Financial Engineering
- Minimum of 3 years of experience in position offered or as Quantitative Researcher
- All required experience must have included:
- Applying quantitative research, statistical modeling, machine learning and predictive analytics in large-scale data analysis;
- Programming in Python and K/QDB to design analytical applications, data pipelines and automation tools;
- Developing and implementing Bayesian models, Monte Carlo simulations, forecasting methodologies, scenario analyses and hypothesis testing frameworks;
- Acquiring, processing and analyzing structured and unstructured alternative data sets;
- Building AI-powered research systems including autonomous and multi-agent frameworks; and
- Designing cloud-based data pipelines and AI applications leveraging Large Language Models (LLMs), ChatGPT, Gemini, and LangChain.

The minimum base salary for this role is $275k if located in New York.  This expectation is based on available information at the time of posting. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.  Successful candidates’ compensation and benefits will be determined in consideration of various factors.

## About Squarepoint Capital

## Company Overview
- **One-liner**: Squarepoint Capital is a leading global quantitative investment manager that uses a rigorous scientific approach and state-of-the-art technology to construct diversified, systematic strategies for institutional clients.
- **Entity Type**: Private (no disclosed external funding; spun out from Barclays in 2014)
- **Headquarters**: New York, New York, United States
- **Founded**: 2014 (as an independent firm; the underlying business, nQuant, dates back to 2000 within Lehman Brothers and later Barclays)
- **Founders**: Led by four founding partners (names not publicly disclosed); the original founders of nQuant continue to lead Squarepoint today.

## Core Business
- **Primary industry**: Financial Services – Quantitative Investment Management
- **Target customers**: Institutional investors (B2B)
- **Mission / Purpose**: “Achieving high quality returns for our clients” through a systematic, diversified, and research-driven investment platform.

## Products & Services
- **Quantitative Investment Strategies**: A diversified portfolio of systematic strategies spanning multiple asset classes (equities, fixed income, currencies, commodities), trading frequencies (high-frequency to long-term), and global markets. The majority of investments are based on rigorous backtesting on historical data.
- **Technology & Data Platform**: A custom, nimble, and forward-looking software stack that enables seamless integration between research and trading, executing millions of trades per day. Includes low-latency trading systems and a world-class data infrastructure.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue is not publicly disclosed (LinkedIn estimates ~$12M, but this likely underrepresents a firm of this scale; the figure should be treated with caution). The firm is privately held and does not report earnings.
- **Notable Investors / Partners**: No external investors; the firm is privately held by its founding partners. Alumni frequently move to top quant funds and tech companies (e.g., Millennium, Citadel, Qube Research & Technologies, Google, Jump Trading).
- **Growth Signals**: Headcount grew 33.9% year-over-year to approximately 1,801 employees (LinkedIn, 2025). The firm operates 17 offices across 8 countries and is actively hiring across technical, research, and finance roles.

## Competitive Advantages
- **Deep heritage**: The team’s quantitative roots trace back to 2000, with a proven track record through multiple market cycles.
- **Scientific rigor**: A disciplined, research-first approach that relies on backtesting and systematic execution rather than discretionary bets.
- **Scale and technology**: Executes millions of trades daily using a highly custom, low-latency platform developed in-house.
- **Global diversification**: Strategies span asset classes, geographies, and trading frequencies, reducing reliance on any single market or style.
- **Culture of ownership**: Privately held and led by its founding partners, fostering long-term thinking and accountability.

## Strategic Focus
- **Diversification**: Continuously expanding into new asset classes, trading frequencies, and geographies.
- **Technology investment**: Ongoing development of proprietary software and data infrastructure to maintain a competitive edge in research and execution.
- **Talent acquisition**: Aggressively hiring quantitative researchers, software engineers (C++, Python), platform engineers, and operations specialists across global offices.

## Why Work Here
- **Culture**: Collaboration across teams, a flat structure with a strong sense of ownership and accountability, and a focus on intellectual curiosity.
- **Work environment**: In-office for most roles (offices in New York, Boston, London, Paris, Singapore, Bangalore, etc.). Some roles offer a remote work program, but the majority require physical presence.
- **Benefits**: Generous parental leave, health insurance (medical, dental, vision), 401(K) matching, disability and life insurance, paid sick days, generous PTO, paid volunteer time, free snacks and drinks. Offices are designed for in-person collaboration.
- **Engineering culture**: Technology is considered core to the business; engineers work closely with quantitative researchers to build and optimize trading systems. Emphasis on C++, Python, Kubernetes, and low-latency systems.
- **Growth trajectory**: Rapid headcount growth and a global footprint offer opportunities for career advancement and international mobility.

## Sources
1. [squarepoint-capital.com](https://www.squarepoint-capital.com/)
2. [squarepoint-capital.com/about](https://squarepoint-capital.com/about)
3. [linkedin.com/company/squarepoint-capital](https://ca.linkedin.com/company/squarepoint-capital)
4. [builtin.com/company/squarepoint-capital](https://builtin.com/company/squarepoint-capital)
5. [job-boards.greenhouse.io/squarepointcapital](https://job-boards.greenhouse.io/squarepointcapital)

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