flat, open, collaborative culture with a strong emphasis on learning and impact. Technology Stack: Predominantly Linux-based systems, using Python (with libraries like NumPy, Pandas, SciPy, etc.) for most development. Java for high-throughput systems, MongoDB and Oracle for storage. Tools like Airflow, Kafka, Jenkins, Docker, OpenStack, and others for more »
related technical discipline. 2+ years of experience in quantitative software development. Interest in finance and macroeconomics. Proficiency in Python and Python libraries such as Pandas and NumPy. Strong software engineering fundamentals with a focus on writing clean, well-tested code. Understanding of object-oriented programming, design patterns, and best practices more »
including Jinja templating/DBT Experience with Snowflake and Airflow (Astronomer) Experience with Java Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn) Experience manipulating, processing and extracting value from large, disconnected datasets (Spark) An understanding of AWS Cloud technologies and how to create scalable applications more »
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 »
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. 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 »
years total commercial/post-graduation experience, ideally in financial markets Strong Python skills including data analysis libraries and visualisation tools (Matplotlib, Plotly, Pandas, NumPy) Strong understanding of software development lifecycle and practices including CI/CD Understanding of financial markets and products – ideally equities and derivatives Degree or Masters 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 »
and AWS architecture. Experience in financial data visualization tools, with expertise in TypeScript being a plus. Familiarity with data science tools such as Spark, pandas, DuckDB, Databricks, or Snowflake is advantageous. Proven track record of leading development teams in fast-paced environments. Experience working within FinTech or Financial Services sectors. more »
side trading desk or buy-side firm with a focus on credit or fixed income. Technical Proficiency: Advanced Python skills, including libraries such as Pandas, NumPy, SciPy, and Scikit-learn. Strong database programming knowledge (SQL) and cloud deployment experience (AWS preferred). Expertise with visualisation platforms like Dash/Plotly more »
City Of London, England, United Kingdom Hybrid / WFH Options
Harrington Starr
with the ability to communicate fluently with both technical and non-technical audiences Experience with data science tools, e.g. one or more of Spark, pandas, DuckDB, DataBricks, Snowflake Knowledge of agile development and continuous delivery methodologies Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role. more »
. - Experience with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies (Spark, Hadoop, Kafka). Technical Skills - Expertise in SQL, Python (Pandas, NumPy), and data modelling. - Experience with data pipeline orchestration tools (e.g., Airflow, DBT). - Proficiency in version control using git and CI/CD pipelines. more »
as a Python Developer, ideally within the finance industry or a similarly demanding environment. Strong proficiency in Python and related libraries/frameworks (NumPy, pandas, SciPy, etc.). Solid understanding of algorithmic trading principles, market microstructure, and risk management concepts. Previous exposure to systematic trading strategies, quantitative research, or high more »
of data, software and architecture operations, data engineering and data management standards, governance and quality - Hands on experience in Python using libraries like NumPy, Pandas, etc. ~ Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, DataFlow, DataFusion, PubSub/Kafka, Looker more »
as the primary language. Deep expertise in Python programming and a strong command of relevant Python libraries for scientific and financial computation (e.g., NumPy, pandas, SciPy). Solid understanding of financial markets, trading systems, and quantitative finance principles. Proficiency in data structures, algorithms, and optimization techniques for low-latency systems. more »
of data, software and architecture operations, data engineering and data management standards, governance and quality - Hands on experience in Python using libraries like NumPy, Pandas, etc. ~ Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, DataFlow, DataFusion, PubSub/Kafka, Looker more »
languages such as Python, R, C++, or Java. Proficiency in deep learning frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with data tools like Pandas, NumPy, and HDFS. Knowledge of vector databases like Weaviate, Pinecone, or Milvus. Familiarity with reinforcement learning tools like OpenAI Gym and Stable Baselines. Competency in more »
MLOps tools such as feature stores, model registries, or experiment tracking. Proficient in Python and SQL, with experience using ML frameworks and libraries like Pandas and NumPy. Familiarity with CI/CD principles and experience implementing workflows using tools like GitHub Actions or similar. Experience with containerized workflows (e.g., Docker more »
/ML teams to translate insights and prototypes into scalable solutions. Required Qualifications, Capabilities, and Skills: Proficiency in Python and data analytics libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn, PySpark). Strong skills in SQL and experience with relational databases. Experience with data visualization tools such as Tableau or Power BI. more »
SOLID) Excellent understanding of commercial development practices such as testing, documentation, package management and SDLC Excellent understanding of Python for numerical programs. In particular, pandas and numpy are a must Excellent problem-solving skills Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and more »
into 2025. We have been mandated to find an elite Data/Software 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 »
and AWS architecture. Experience in financial data visualization tools, with expertise in TypeScript being a plus. Familiarity with data science tools such as Spark, pandas, DuckDB, Databricks, or Snowflake is advantageous. Proven track record of leading development teams in fast-paced environments. Experience working within FinTech or Financial Services sectors. 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 »
learning models, and integrating cloud-based services using cutting-edge technologies. Essential Skills & Experience: Strong proficiency in Python and its scientific computing libraries (NumPy, Pandas, SciPy). Proven experience in developing and deploying machine learning models (supervised, unsupervised, deep learning). Solid understanding of data structures, algorithms, software design principles more »
a similar role, with a strong focus on Python development. Expertise in building and managing ETL pipelines and data workflows using tools like Airflow, Pandas, or similar. Proficiency with SQL and familiarity with database systems (e.g., PostgreSQL, MySQL). Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure more »
