Quantitative Developer

🏢 Summary: Hands-on Quantitative Software Engineer role focused on building and optimizing a high-performance research-to-trading platform for quantitative investment strategies. The position involves developing analytics, pricing libraries, and production trading systems using C++ and Python, with direct collaboration with researchers and investment professionals. Emphasis is placed on scalable data pipelines, performance tuning, and reliable production infrastructure. 🗂️ Requirements: Degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field, 3+ years of software engineering experience in production environments, Strong programming skills in Python, Strong programming skills in modern C++, Experience with SQL and relational databases, Experience with Linux development, Experience building, deploying, and supporting production systems, Strong performance tuning, debugging, and optimization skills, Understanding of financial markets (equities, futures, FX) and market data usage, Strong analytical and problem-solving skills 📃 Skills: Python, C++, SQL, Linux, CMake, Git 🏢 Description: Quantitative Software Engineer Warsaw, hybrid. Join a team building a research-to-trading platform used to design, test, and deploy quantitative investment strategies. This is a hands-on engineering role focused on high-performance analytics, market data, and production trading infrastructure . Responsibilities Develop and maintain C++ and Python applications supporting quantitative research and trading. Build analytics, pricing libraries, and tools for backtesting, simulation, and production trading. Design and optimize data pipelines handling large historical and real-time market datasets. Develop and support production services, including testing, deployment, and monitoring. Improve platform scalability, reliability, and performance. Partner directly with researchers and investment professionals to deliver robust, production-grade solutions. Contribute to technical roadmap, automation, and engineering best practices. Requirements Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field. 3+ years of software engineering experience in production environments. Strong programming skills in Python and modern C++ . Experience with SQL, relational databases, and Linux development . Experience building, deploying, and supporting production systems. Strong performance tuning, debugging, and optimization skills. Understanding of financial markets (equities, futures, FX) and market data usage. Strong analytical, problem-solving, and communication skills. Nice to Have Experience working directly with quantitative research or trading teams. Background in low-latency or high-throughput systems. Experience with large-scale data processing and analytics platforms.

🏢 Summary: The offer is for a senior Python Developer role focused on building and optimizing trading systems, data pipelines, and analytical tools that enhance execution performance and market insights. The position centers on integrating with trading infrastructure, analyzing large-scale market data, and improving latency, fill rates, and execution quality. It involves close collaboration with research and infrastructure teams to deliver robust, real-time trading solutions. 🗂️ Requirements: Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or related quantitative field, 7+ years of professional Python development experience, Experience building libraries, data platforms, or analytical tools, Experience with large-scale and time series datasets, Strong SQL knowledge and experience with analytical databases, Experience working in Linux environments, Knowledge of software engineering best practices (testing, version control, CI), Knowledge of financial markets and electronic trading, Ability to design and maintain real-time data pipelines and monitoring systems 📃 Skills: Python, SQL, NumPy, Pandas, Linux, Git, CI, C, C++, Rust 🏢 Description: About the Client Our client, a global leader in investment management, specializes in pioneering and data-centric strategies. The firm operates across all liquid asset classes globally, harnessing technology and data science to guide their investment strategies. The team comprises experts in data, technology, research, and trading who collaboratively tackle complex problems and achieve outstanding returns. Role Summary As a Python Developer, you'll be instrumental in developing systems and tools that integrate with the trading infrastructure and market mechanisms. Your duties will involve building data pipelines, analytical tools, and libraries to enhance execution analysis and trade performance. This role has been created due to the company's expansion and its objective of further refining trading capabilities. Primary Responsibilities - Analyze trading behaviors across various venues to discover execution issues and enhance latency and fill rates. - Develop Python libraries, data pipelines, and tools to manage exchange protocols, order flows, and extensive trading datasets. - Design analytical frameworks, metrics, and monitoring systems to assess execution quality and system performance. - Oversee live trading systems with a focus on data integrity, pipeline durability, and real-time monitoring. - Collaborate with stakeholders to translate analytical insights into tangible improvements in execution performance. - Work closely with research and infrastructure teams to advance execution analysis and market behavior insights continuously. Required Skills & Experience - Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative field. - Over 7 years of professional experience in Python development, including crafting libraries, data platforms, or analytical tools. - Expertise with large-scale and time series datasets utilizing tools like NumPy and Pandas. - In-depth SQL knowledge and experience with analytical databases. - Strong problem-solving skills for analyzing complex data and system behaviors. - Capability to translate analytical or trading-related challenges into reliable engineering solutions. - Experience working in Linux environments and applying best practices in software engineering such as testing, version control, and continuous integration. - Knowledge of financial markets, electronic trading, or execution analysis. - Experience with low-level programming languages such as C, C++, or Rust is advantageous. Compensation & Benefits - Competitive salary based on experience - Performance-based annual bonus - Outstanding compensation package Career Development & Growth - Clear pathways for advancement to Senior Developer and Tech Lead roles - Access to internal training resources and mentorship - Regular hackathons and allocated conference budget Ready to elevate your career? Join a team driven by innovation and collaboration. Apply today to be part of a forward-thinking company that values your expertise and supports your professional growth.

🏢 Summary: The role focuses on building and optimizing low-latency, high-performance systems for real-time market data processing and distribution within an investment banking environment. It involves developing C++ components, integrating external data sources, and creating Python-based APIs and data pipelines to ensure scalable and reliable access to critical financial data. The position emphasizes performance optimization, distributed systems, and real-time data engineering. 🗂️ Requirements: Strong experience in C++, Experience building high-performance, low-latency systems, Background in real-time or data-intensive environments, Experience with distributed systems, Experience with streaming data, Experience with system integrations and data workflows, Understanding of performance optimization, Experience with system-level engineering 📃 Skills: C++, Python, APIs, DistributedSystems, Streaming, LowLatency, MarketData, DataPipelines, PerformanceOptimization, Linux 🏢 Description: Senior Engineer C++ in investment banking Join a team building a high-performance platform for real-time market data processing and distribution. This role combines low-latency engineering with modern data solutions, supporting large-scale access to critical financial data across the organization. 🔹 What you’ll do Build and optimize low-latency systems for real-time data processing Integrate data from exchanges and external providers Develop APIs and data pipelines in Python Ensure data quality, reliability, and system performance Collaborate with engineering and infrastructure teams to scale solutions 🔹 What you bring Strong experience in C++ and building high-performance systems, preferably in investment banking Background in real-time or data-intensive environments Experience with distributed systems and streaming data Experience with integrations and data workflows Understanding of performance optimization and system-level engineering 🔹 Nice to have Cloud / containerization experience Knowledge of financial markets Familiarity with real-time monitoring tools

🏢 Summary: Senior C++ Software Engineer contract focused on modernizing and scaling a business-critical quantitative analytics platform for real-time pricing, trading, and risk management. The role involves cross-platform migration from Windows to Linux, platform engineering, and improving architecture, scalability, and reliability within a large-scale C++ environment. Onsite assignment in Copenhagen until December 2026 with possible extension. 🗂️ Requirements: 10+ years of C++ development experience, Proven multi-platform C++ development experience, Strong experience with CMake, In-depth knowledge of threading, In-depth knowledge of memory management, Experience with Windows and Linux development environments 📃 Skills: C++, CMake, Linux, Windows, Threading, MemoryManagement 🏢 Description: On behalf of a client within the financial services sector, we are looking for a Senior C++ Software Engineer to support the development and modernization of a business-critical quantitative analytics platform used for real-time pricing, trading, and risk management. The assignment focuses on platform engineering, cross-platform development, and improving the scalability and reliability of a complex analytics environment. You will join an experienced engineering team working on the evolution of a large-scale C++ platform as it expands into areas such as electronic trading, automated execution, and data-driven analytics. Main Responsibilities: Migrate the application from Windows to multiple platforms (Linux and Windows) Review and improve platform architecture, scalability, and reliability. Key Requirements: Expert C++ development with 10+ years of experience Proven experience in multi-platform C++ development Strong experience with CMake In depth understanding of threading and memory management Nice to Have: Experience in financial markets or building systems for trading, risk, or analytics Other Details : Location : Onsite in Copenhagen, Denmark Contract Duration : From as soon as possible until December 2026, with a possible extension.

🏢 Summary: Mid-Level Python Systems Engineer role focused on building telemetry, diagnostics, and network analysis tools to enhance observability and performance of algorithmic trading systems. The position bridges software development, Linux systems, and networking to analyze low-level OS and network behavior in real time. You will develop data pipelines and automation tools to optimize trading infrastructure performance. 🗂️ Requirements: Minimum 3 years commercial experience with Python, Strong practical experience working in Linux environments, Understanding of OS internals: processes, memory, networking, Knowledge of TCP/IP, UDP, Ethernet, Multicast, Experience building and optimizing data pipelines, Ability to analyze raw network packet captures (PCAP), Practical Shell/Bash scripting skills, Basic ability to read C or C++ code 📃 Skills: Python, Linux, TCP/IP, UDP, Ethernet, Multicast, Bash, PCAP, Wireshark, tcpdump, C, C++ 🏢 Description: The Company: Our client is an innovative technology-driven trading firm operating globally. They are active players in the quantitative finance sector, known for leveraging massive datasets and advanced infrastructure. If you are passionate about computer systems engineering and want to dive into an environment where performance matters, this is a great place to grow. You will join a collaborative R&D team that builds and maintains the backbone of algorithmic trading systems. The Role: As a Mid-Level Python Systems Engineer, you will help bridge the gap between software development, network engineering, and data analysis. Working closely with senior engineers, your goal will be to enhance the observability and performance of the trading platform. Instead of writing trading strategies, you will help build the "eyes and ears" of the system—tools that allow the team to see exactly what is happening inside the network stack and the operating system in real-time. Key Responsibilities: System Telemetry & Tooling: Develop and maintain custom Python-based tools to harvest and aggregate telemetry data from distributed trading components. Network Analysis Pipelines: Build and optimize data pipelines specifically for processing raw network packet captures (PCAP) to analyze latency and throughput. Automated Diagnostics: Help create algorithms to detect anomalies in traffic patterns and OS performance metrics before they impact trading. Infrastructure Optimization: Collaborate with the team to analyze findings and recommend changes in the trading stack (e.g., kernel tuning, network config) to improve overall performance. Essential Skills: Python Experience: Minimum of 3 years of commercial experience writing clean, efficient, and robust Python code. Practical Linux Knowledge: You are comfortable working in a Linux environment and have a good understanding of how the OS handles processes, memory, and networking. An eagerness to learn more advanced concepts (like context switches or kernel bypass) is highly valued. Networking Fundamentals: Good understanding of the lower layers of the OSI model (TCP/IP, UDP, Ethernet, Multicast). Scripting: Practical knowledge of Shell/Bash for everyday automation tasks. Low-Level Awareness: Basic ability (or a strong willingness to learn how) to read C or C++ code to understand how Python interfaces with lower-level components. Desirable Experience (Nice to have): Background in analyzing large time-series datasets. Experience with network sniffing tools (Wireshark, tcpdump) and programmatic packet analysis. Previous exposure to FinTech, HFT, or electronic trading environments (though strong pure-tech candidates from other industries are very welcome!).

🏢 Summary: Expert-level Python Developer role focused on building and enhancing a desktop-based statistical and analytical software application. The position involves developing scalable statistical tools for data analysis, visualization, and decision support using Python technologies. The application processes structured datasets, performs statistical computations, and provides an interactive GUI for business and technical users. 🗂️ Requirements: Minimum 5 years of hands-on Python application development, Strong proficiency in Python, Experience in statistical software development, Hands-on experience with PyQt for desktop GUI development, Experience with Pandas and NumPy for data manipulation and analysis, Experience with Matplotlib for data visualization, Experience developing and maintaining analytical or statistical tools, Ability to translate statistical and business requirements into software solutions 📃 Skills: Python, PyQt, Pandas, NumPy, Matplotlib, GUI, Statistics, DataAnalysis 🏢 Description: Role: Python Developer – Statistical Software Development Experience: For an expert-level profile, we are looking for a developer with minimum 5 years of hands-on experience in Python-based application development. Technical Skill Set & Expectations: Strong proficiency in Python Hands-on experience in statistical software development Proven experience with: PyQt for desktop application (GUI) development Pandas and NumPy for data manipulation and analysis Matplotlib for data visualization and charting Experience in developing, maintaining, and enhancing analytical or statistical tools Ability to translate business and statistical requirements into scalable, user-friendly software solutions Application Context / Description: The application in scope is a desktop-based statistical and analytical software used for data analysis, visualization, and decision support. It handles structured datasets, performs statistical computations, generates plots and reports, and provides an interactive user interface for business and technical users. The tool is primarily used for analytical studies, validation, and internal decision-making .

🏢 Summary: Senior Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: Software Engineer role focused on building and optimizing low-latency, high-performance trading infrastructure for global markets using low-level programming and data-driven methods. The position involves developing and maintaining high-throughput systems, exchange connectivity, and large-scale data processing with a strong emphasis on performance and precision. 🗂️ Requirements: Excellent C/C++ programming skills, Hands-on experience with large C/C++ projects, Strong knowledge of TCP and UDP networking, Low-level networking expertise, Deep understanding of algorithms and complexity, Strong knowledge of statistics and algebra, Master’s degree in Computer Science, Electrical/Computer Engineering or related field, Experience with Python or shell scripting, Active GitHub account or proven coding portfolio 📃 Skills: C, C++, Python, Shell, TCP, UDP, Networking, Algorithms, Statistics, Algebra, GitHub, Cloud 🏢 Description: Description About Us For over five years, we've been at the forefront of crypto trading, building the software that outpaces the market. We seek talent in Mathematics, Physics, and Computer Science to apply rigorous scientific and data-driven methods to financial markets. We continuously strive for perfection in every aspect of our research and engineering culture, where the better argument always wins over hierarchy. Our ambition goes far beyond cryptocurrency trading: we are here to dominate global markets, and we are here to win What you will do We're looking for a Software Engineer who lives and breathes low-level programming and high-performance computing. You will work alongside researchers and engineers to build, improve, and maintain our low-latency, high-throughput trading infrastructure. From collecting quotes and trades from exchanges around the world in the most efficient way possible to tackling big-data challenges at scale, this role demands someone who is obsessed with performance, precision, and squeezing out every last microsecond. Location: Zug, Switzerland | Relocation support provided Requirements Creativity, self-motivation, drive to perfection to solve challenging problems down to the nanosecond range Excellent C/C++ design and programming skills Must prove hands-on experiences working on big projects in C/C++ in a dynamic environment Demonstration of active GitHub account (or similar proof) Strong understanding of networking concepts (TCP, UDP, etc.) with low level networking knowledge preferred Deep knowledge of algorithms, complexity, statistics and algebra At least Master's Degree in Electrical/Computer Engineering, Computer Science, or a related area Solid experience with scripting languages (Python, shell scripting, etc.) Familiarity with cloud computing infrastructure (a plus) Benefits Work where scientific thinking and engineering excellence drive decisions A culture focused on continuous improvement and performance at the highest level Highly collaborative environment where good ideas win over hierarchy Direct impact on low-latency trading infrastructure and global exchange connectivity Join an ambitious team building a platform designed to grow beyond cryptocurrency trading

🏢 Summary: Senior Python Developer role focused on building high-performance data pipelines and monitoring solutions for low-latency trading systems. The position involves processing network packet data, developing analytics tools, and enhancing real-time trading infrastructure. It offers direct impact on trading performance within a financial technology environment. 🗂️ Requirements: Minimum 3 years of software development experience, Professional experience with Python, Experience with Shell scripting, Experience in data analytics and time series analysis, Basic knowledge of TCP/IP, UDP and Ethernet protocols, Understanding of GNU/Linux kernel and OS internals, Basic knowledge of C/C++, Fluent English, Legal right to work in the European Union 📃 Skills: Python, Shell, TCP/IP, UDP, Ethernet, Linux, GNU, C, C++, Analytics, TimeSeries 🏢 Description: Empower the Future of Trading — Shape High-Performance Data Pipelines in a Dynamic Financial Ecosystem! Wroclaw-based opportunity with on-site work model (5 on-site days per week allowed). As a Senior Python Developer – Trading Technology & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in low-latency trading strategies. Join a team of innovative engineers and researchers dedicated to optimizing and transforming trading performance through cutting-edge data solutions and monitoring tools. This role offers a unique chance to directly influence trading outcomes and advance your career in financial technology. Your main responsibilities: Develop tools to collect and aggregate data from complex trading systems. Design and implement data pipelines to process network packet captures for low-latency network analysis. Build monitoring solutions with anomaly detection for network traffic and system metrics. Collaborate with the team to optimize trading strategies and improve system performance. Gain expertise in financial markets and trading technology while proposing measurable improvements. Contribute to high-performance data infrastructure supporting real-time trading decisions. Work closely with engineers to streamline data flows and enhance system reliability. You're ideal for this role if you have: At least 3 years of experience in software development, preferably in trading or finance. Strong proficiency in Python and Shell scripting. Experience in data analytics and time series analysis. Basic knowledge of TCP/IP, UDP, and Ethernet protocols. Understanding of GNU/Linux kernel and operating system internals. Fundamental knowledge of C/C++ programming. An interest in financial markets and trading technology. It is a strong plus if you have: (optional) Certifications or experience in network analysis or low-latency systems. Language Required for the role: Fluent in English, with excellent communication skills to collaborate effectively. Eligibility to work on this role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Haskell Developer role focused on building and enhancing a high-performance pricing and analytics platform for financial markets. The position involves developing scalable backend and user-facing applications, collaborating with engineers and quantitative developers, and working across Linux and Windows environments using functional programming principles. 🗂️ Requirements: 3–5 years of commercial Haskell experience, Strong understanding of functional programming principles, Solid knowledge of algorithms, Knowledge of data structures, Understanding of concurrency, Understanding of computational complexity, Degree in Computer Science or equivalent practical experience, English proficiency at B2+/C1 level, Strong communication skills, Strong collaboration skills 📃 Skills: Haskell, Linux, Windows, C++ 🏢 Description: We're looking for a Haskell Developer to join a global engineering team building high-performance software used in financial markets. You'll work on a modern pricing and analytics platform, collaborating with experienced engineers on systems that process large volumes of data and support business-critical applications. Responsibilities Develop and enhance features for an internal pricing and analytics platform. Build high-quality software using Haskell and an in-house functional language. Collaborate closely with software engineers, quantitative developers, and business stakeholders. Design and implement reliable, scalable, and high-performance solutions. Work on a variety of projects, including backend services, reporting tools, user-facing applications, and platform components. Participate in code reviews and contribute to continuous improvements in engineering practices. Work across both Linux and Windows environments using modern development tools. Requirements 3–5 years of commercial experience with Haskell (must have). Strong understanding of functional programming principles. Solid computer science fundamentals, including algorithms, data structures, concurrency, and computational complexity. Degree in Computer Science or equivalent practical experience. English proficiency at B2+/C1 level. Strong communication and collaboration skills. Nice to Have Experience with other functional programming languages (considered a plus, but not a substitute for Haskell experience ). Experience with C++. Exposure to financial systems or capital markets.