implement and then deliver solutions. You will be working within an Agile delivery team utilising the latest tools and tech. Development experience in Python Pandas, Polars, PyTest AWS experience - Lambda, ECS, SQS Good database knowledge of SQL, NoSQL or PostgreSQL Git or similar source control Apply now for the Software more »
Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven more »
quality, performance, and scalability. Qualifications Bachelor’s Degree in Computer Science, Information Systems, Mathematics, etc. 7+ years in Python and libraries like PyTorch, NumPy, Pandas, Matplotlib, QuantLib, etc Experience in Systems that handle high-throughput, low-latency data Experience with multi-threading, concurrency, and high-frequency trading (HFT). Experience more »
including data integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues more »
Have a Bachelor's or Master's degree in Computer Science or related field. 3+ years of data engineering experience with strong Python (including Pandas) skills. Strong proficiency in Object-Oriented Programming. Have strong problem-solving and communication skills. Experience working in Commodities, Trading or Financial Services markets. For more more »
for improvement. Qualifications Maths/Computer Science/Engineering Masters or PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest more »
Swaptions, XCCY swaps. Government Bonds & Bond Futures. FX – Linear and Vanilla. Data Strategy Engineer Tech Stack: A minimum of 1.5 years experience using Python (pandas, numpy, requests etc). Excel. Databases: an understanding of SQL and NoSQL databases (postgress, mongo). REST API. Bloomberg API (Excel and python). Data more »
microstructure experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in more »
demonstrated by a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships with more »
as a Python Developer, with a strong portfolio of relevant projects. Technical Skills: Proficiency in Python and its libraries/frameworks (e.g., Django, Flask, Pandas, NumPy). Experience with data processing and analysis. Familiarity with database systems (SQL and NoSQL). Knowledge of version control systems (e.g., Git). Understanding more »
as a Data Scientist, with a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing more »
capabilities in production at scale.Deep knowledge of machine learning algorithms applied to solving business problems.Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker)Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products.Experience working in highly collaborative environments more »
use a constantly evolving set of systems, tools, and libraries. Most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in more »
a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using more »
for improvement to implement practical solutions. Key Requirements Background in Python Development from an engineering or development environment Experience with Airflow, Cloud (AWS) and Pandasmore »
Energy/Gas), who i s technically well versed in graph based trading, and analysis data-sets (time series, market-data). Stack: Python, Pandas, SQL, AWS The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If more »
implementation of systematic strategies in production, build tools to monitor strategies, build research infrastructure - with a heavy focus on data engineering. Tech stack: Python, Pandas, AWS, Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. more »
haves: Looking for a junior Python developer with a few years of professional experience. Proficiency in Python Ideally in data science libraries like NumPy, Pandas etc. Application building experience (multi-processing, API dev etc.) – not just data analysis Competency in SQL Some (but any) cloud experience Strong communication skills, teamwork more »
required for this Senior Python Software Engineer position? MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries - NumPy, Pandas, Polars etc Bonus: Knowledge of financial markets or quantitative finance concepts If you are a Senior Python Software Engineer and you are looking to join more »
Utilize existing and new datasets to develop significant insights and decision support tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets more »
Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model more »
in using quantitative methods for strategy parameter optimization Prior experience at a top tier hedge fund, proprietary trading house or investment bank Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries more »
bonds) and modern OIS/Libor techniques. Preferred experience in US Treasury and European government bond markets. Proficient in Python and data manipulation libraries (Pandas, NumPy, SciPy). Experience with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. more »
Ability to create and implement both logical and physical data models. Mapping Specifications : Competence in creating detailed mapping specifications. Python : Knowledge of Python, particularly Pandas, for data analysis. Looker Core/LookML : Experience with Looker Core or LookML (not Looker Studio). User Acceptance Testing (UAT) : Proficiency in planning and more »
a related field.8+ years of experience as a Data Engineer or in a similar role.Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy).Extensive experience with ETL tools and processes.Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).Proficient in SQL and experience with relational more »
