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Quantitative Developer, Trading Research

at Point72

Mid LevelNo visa sponsorshipPython

Posted 21 hours ago

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Compensation: Not specified
City: Warsaw
Country: Poland

**Quantitative Developer, Trading Research** designs & implements quantitative trading models. Develops and maintains trading algorithms. Utilizes C++, Python, and datasets to create, test, and optimize strategies. Minimum 3 years in quantitative finance or related field. Experience with SQL, Git, and Linux crucial. Collaborates with traders to understand market needs and refine models.

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Quantitative Developer, Trading Research Career

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P72 Careers - Header

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margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); 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text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; 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} .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; 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Quantitative Developer, Trading Research

Apply Now

Experience

Experienced Professionals

Location

Warsaw, PL

Focus

Software & System Engineering

Business

Point72

What you’ll do

Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production
Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making
Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments
Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets
Deploy, monitor, and operate production services, including automated testing, release processes, and incident response
Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques
Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact
Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure
Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence

What’s required

Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline
3+ years of professional software engineering experience building production systems in a collaborative environment
Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components
Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development
Proven experience designing and operating production services, including testing, deployment, and monitoring practices
Demonstrated ability to profile, debug, and optimize code and system performance for low-latency or high-throughput workloads
Working knowledge of financial markets and instruments across equities, futures, or foreign exchange, and how market data is used in research
Strong analytical problem-solving skills and attention to detail when validating models and calculations and excellent communication with experience working directly with researchers and portfolio managers
Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

Sports card
Private life insurance
Private medical and dental care, with vision allowance
Private pension scheme
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBT+ community
Business travel accident insurance
Employee assistance program
Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We're looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.

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What you’ll do

Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production
Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making
Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments
Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets
Deploy, monitor, and operate production services, including automated testing, release processes, and incident response
Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques
Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact
Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure
Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence

What’s required

Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline
3+ years of professional software engineering experience building production systems in a collaborative environment
Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components
Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development
Proven experience designing and operating production services, including testing, deployment, and monitoring practices
Demonstrated ability to profile, debug, and optimize code and system performance for low-latency or high-throughput workloads
Working knowledge of financial markets and instruments across equities, futures, or foreign exchange, and how market data is used in research
Strong analytical problem-solving skills and attention to detail when validating models and calculations and excellent communication with experience working directly with researchers and portfolio managers
Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

Sports card
Private life insurance
Private medical and dental care, with vision allowance
Private pension scheme
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBT+ community
Business travel accident insurance
Employee assistance program
Educational assistance reimbursement

About Point72

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