Points: Experience of research and backtesting to evaluate the performance of trading strategies and models Proficiency in Rust and Python, statistical tools (e.g., NumPy, pandas, SciPy) Experience of development with relational and time series database technologies Knowledge of risk management infrastructure What We Offer: Competitive base salary and discretionary bonus more »
process efficiency and effectiveness. Technical Expertise: Advanced proficiency in Python with minimum demonstrable programming experience including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding more »
Millennium, judged by the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database more »
Configuring Infrastructure as Code (IaC) using tools such as Terraform. Using protobuf and gRPC for interfaces. Handling tabular data using Python libraries such as pandas or polars. Previous work with Data Scientists or on Machine Learning projects. Experience administering, monitoring, and tuning relational database queries. We don't expect any more »
Treasury and/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS more »
EMS) order tickets routing to Liquidnet algorithms. Experience/Competences Essential Degree-level qualification in a numerate discipline. Practical programming experience in Python (including Pandas and Numpy) and SQL. Knowledge of the mechanics of equity execution algorithms. Proficiency in statistical models and techniques. Excellent communication and organisational skills. Desired Knowledge more »
Experience with AWS services (S3, Redshift, RDS, Lambda, EC2, ECS, EKS). UI/UX Design experience. Familiarity with Python packages for data science (Pandas, Numpy, Scikit, TensorFlow). Strong analytical and problem-solving abilities. Benefits £6,000 annual training and conference budget. Pension contribution scheme (up to 12%). more »
EC2, ECS, EKS) 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, etc) Strong analytical and problem-solving abilities to identify and address technical issues effectively Ability to take ownership and manage new and more »
or relevant engineering discipline, or equivalent Substantial software Engineering team leadership experience, including recruitment, mentoring, performance and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Hands-on experience designing and implementing control mechanisms for automation Solution orientated with an ability to think outside the more »
of developing and deploying data science and ML capabilities in production at scale. Strong experience with Python programming and common ML frameworks (e.g., PyTorch, Pandas, NumPy) and MLOps platforms (e.g., SageMaker). Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences. Demonstrated more »
pipelines from start to finish. Advanced level of experience with Python and SQL. Experience with data and machine learning related Python libraries, e.g. NumPy, pandas, SciPy, Matplotlib, Seaborn, sklearn, tensorflow Familiarity with data visualisation toolsets, e.g. PowerBI . Experience with data engineering processes and tools, e.g., ETL processes, data warehousing. more »
a Software Engineer to work on a research data platform, which will house data sets used for Quant Researchers and Portfolio Managers. Stack: Python, Pandas, AWS, Docker The firm is made up of mostly technologists, and thus technological innovation and importance sits at the center of their ethos; making it more »
this moving into 2025. We have been mandated to find an elite Data Engineer to work in their systematic data Team, using Python/Pandas, AWS, ETL, SQL, they will work with traders/quants/engineers to deliver actionable insights curated from financial vendor data sets. Focus will be more »
Westminster, London, City of Westminster, United Kingdom Hybrid / WFH Options
Summer Browning Associates
month assignment Location: Predominantly remote (Adhoc London) Minimum Requirement: Experience writing high quality production-grade Python code, using a range of libraries and frameworks: Pandas, numpy, scipy, scikit-learn, Tensorflow, PyTorch, OpenCV, Pydantic etc. Experience with Oracle database and/or PostgreSQL. Being able to understand and write SQL queries more »
in Quant Development/Risk Management/Modeling * Strong understanding of Financial Markets particularly Trading Platforms and Financial Products * Experience with quantitative libraries - NumPy, Pandas, SciPy * Strong programming skills in Python, Matlab, R * Machine Learning Frameworks - TensorFlow, PyTorch Please apply for immediate interview! CBSbutler is operating and advertising as an more »
Employment Type: Permanent
Salary: £80000 - £110000/annum Bonus + Full Benefits
sectional and time-series models Strong experience with data exploration, dimension reduction, and feature engineering Proficiency in Python using the machine learning stack—numpy, pandas, scikit-learn, etc. Apply:- Please send a PDF CV to quants@ekafinance.com more »
Maths fundamentals Knowledge of Python and Linux/Unix platforms; familiarity with scripting languages. Familiarity with technologies related to data processing such as Numpy, Pandas, Airflow, Kubernetes, etc. Exceptional communication skills in both verbal and written form. Mature and thoughtful, with the ability to operate in a collaborative, team-oriented more »
data science consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake). Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm. Proficiency in English and French is a strong advantage. Detail more »
data science consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake). Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm. Proficiency in English and French is a strong advantage. Detail more »
position, specifically focusing on ETL design, data quality testing, cleansing & monitoring, data sourcing and sound knowledge of modern code development practices. Strong Python, Pyspark, Pandas skills. Knowledge/experience of building backend Python APIS. Strong SQL & Tableau skills. Experience working within Cloud environments - AWS is preferable. Excel & VBA skills. Excellent more »
detection models. Strong knowledge of credit bureau data and its applications. Proficiency in Python, SQL, and data science/machine learning libraries (e.g., Numpy, Pandas, Scikit-Learn). Proven ability to communicate complex ideas effectively to non-technical audiences and stakeholders. Experience with version control systems (e.g., Git) and working more »
advisory, design & implementation Contribute to internal initiatives such as; blogs, thought leadership, leading technical forums Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow) Experience driving ML & data science solutions into production You can put the numbers into a business perspective - you're a more »
a profound expertise in machine learning, predictive modeling, and algorithm development. Strong proficiency in Python and SQL. Proficiency in Python and libraries such as Pandas, NumPy, and machine learning tools (Scikit-Learn, TensorFlow, PyTorch). Proven experience working with cross-functional and cross-cultural teams Demonstrated leadership capabilities with excellent more »
of commercial Data Science experience A strong understanding with MLOps and ideally having led MLOps engineers Experience with our tech stack: Python (NumPy, Scipy, Pandas, etc.), OpenCV, PyTorch MSc or PhD in a related subject matter Strong leadership experience i.e. a team of 3+ people Experience working and managing teams more »
