and a desire to work with other software engineers. - A passion for learning new skills, including financial concepts and trading workflows. Candidate background - Python development, including: - Scientific libraries (eg, Pandas, Polars, NumPy, SciPy). - Web technologies (eg, Flask, FastAPI). - Data engineering experience. - Familiarity with cloud infrastructure (eg, AWS). Nice-to-Have - JavaScript UI frameworks (eg, React, Vue, Angular More ❯
Engineering, AI, or related field. 7+ years of professional software development experience, with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . More ❯
excellence. What You'll Bring 5+ years of software development experience in quantitative trading, with strong skills in Java and/or Python. Proficient in Pythons data science ecosystem (Pandas, NumPy, Scikit-learn) with solid debugging and analytical capabilities. Demonstrated experience implementing trading algorithms and working on large-scale distributed systems. Familiarity with transactional systems using modern databases like Aurora More ❯
trading Requirements: Bachelor's degree or higher in CS, Engineering or other technical discipline Demonstrated ability to program in a scientific computing environment, preferably in Python/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases More ❯
methodologies for analyzing and interpreting large datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on More ❯
WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems More ❯
members. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Pythons data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems More ❯
strong expertise in modern C++20. Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing clean, efficient, maintainable code and More ❯
or interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge of building and monitoring high-performance, concurrent services. Additional Information We offer a Friends of Voleon More ❯
knowledge of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Strong familiarity with Agile processes. Experience with Pandas, NumPy, Matlab, R or other mathematical/statistical languages/packages. Experience in leadership and mentoring. Excellent communication skills, both written and spoken. COMPETENCIES Communication Team work Customer focus Resilience More ❯
These are ourvaluesand influence everything we do. Preferred Qualifications Familiarity building scalable services in a microservices architecture. Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas) Familiarity with public cloud platforms, such as AWS, Azure, or GCP. Strong testing automation experience, preferably in unit frameworks Diverse and Inclusive At SAS, it's not about fitting into More ❯
system design components, CAP theorem/concept). A keen eye for good user interface design and user experience. Experience with Python packages used for data science (familiarity with Pandas, Numpy, Scikit, Tensorflow). Knowledge of containerisation technologies (Docker, Kubernetes). What you'll do As a Full Stack Engineer, you will build and support well-designed, tested, and scalable More ❯
growing organisation. Role Requirements Technical Expertise 4+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines Advanced Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding More ❯
are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong academic background from a top tier university a major plus If this sounds of interest we'd love to hear from you! Vertex Search More ❯
are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong academic background from a top tier university a major plus If this sounds of interest we'd love to hear from you! Vertex Search More ❯
Python, Django, Javascript, Cloud, Pandas, NumPy A leading London Investment Manager is currently seeking a Python Web Developer (mid level) for a new initiative: The team is currently building a new, bespoke application for the Operations function of the fund. You'll be developing automation systems for trade processing workflows, creating custom data visualization tools, and architecting web applications using More ❯
and risk analysis projects. Drive innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend More ❯
and risk analysis projects. Drive innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend More ❯
platforms 5+ years working with front office stakeholders, including traders and researchers to fulfil their data needs Experience performing data analysis in SQL and Python using common libraries like pandas Experience using cloud-based tools like AWS S3 or Snowflake Strong organizational and relationship management skills The annual base salary range for this position is $100,000 to More ❯
with workflow management tools (Airflow/Argo) Prior experience writing documentation for senior stakeholders; the ability to accurately abstract and summarize technical information is critical Python programming skills: PySpark, Pandas, Jupyter Notebooks (3+ years in a professional environment) Prior experience working with git in a professional environment Ability to work independently in a fast-paced environment; prioritize multiple tasks and More ❯
at scale Experience leading complex projects supporting system design, testing, and operational stability Extensive practical cloud native experience Strong programming skills in Python (especially scientific libraries: PyMC, NumPy, SciPy, pandas, etc.) and experience working with probabilistic programming frameworks (e.g. PyMC, Stan, TensorFlow Probability). Experience designing and deploying Bayesian networks, Monte Carlo simulations, or other probabilistic models in complex real More ❯
one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack - pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures More ❯
communication skills, ability to convey the ideas behind complex research in a clear and precise manner. A background in coding with proficiency in Python, Java and relevant quantitative packages (Pandas, scikit-learn, etc). Ability to manipulate and analyze complex, large scale, high-dimensionality data from multiple sources. Working experience with high-frequency financial time series is preferred. Explore Insights More ❯
on the client AI Platform, ensuring their integration with advanced data solutions. Lead the architecture, development, and maintenance of comprehensive data integration systems, employing efficient ETL processes using Python, Pandas, and NumPy for large-scale data manipulation. Apply JavaScript or another object-oriented language (e.g., Python, C#) in client environments to seamlessly integrate various system functionalities. Proactively test, diagnose, and More ❯
residence. Proficient in designing, developing, and maintaining RESTful APIs for data services using Python frameworks such as FastAPI, Flask, or Django. Strong experience with Python's data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake More ❯
