Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking and communication platform. More ❯
judged by the ability to deliver timely solutions to Portfolio and Risk Managers Required Skills/Experience Minimum 5 years of experience using Python and scientific python libraries (e.g., pandas, NumpPy, SciPy). Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure, or GCP). Prior experience in system design and data modeling, with the More ❯
analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required Skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong 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 ❯
Out in Science, Technology, Engineering, and Mathematics
good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the 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 Java and C++. We use … Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An 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 ❯
of Python-based solutions. Person Specification.... - Masters in computer science or similar qualification - Numerous years of Python development experience - Expert proficiency in Python and its ecosystems (e.g., Flask, Django, Pandas, NumPy). - Experience in financial modelling, particularly using Python to optimise asset management systems and financial applications. - Expertise in cloud platforms, particularly Azure, and integration with Python for scalable, cloud More ❯
or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong proficiency in Python and commonly used libraries such as Pandas, NumPy, and Dask. Hands-on experience with DevOps tools such as Git, Bitbucket, and CI/CD pipelines (e.g. TeamCity). Proven experience in software development within a production environment More ❯
Spark Streaming Proficiency with AWS services , including Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on with Python , especially in data handling (pandas, scikit-learn, etc.) Familiarity with RESTful web services and event-driven architectures Strong debugging, testing (JUnit or equivalent), and system design skills Passion for building scalable , reliable platforms that support 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 ❯
analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong More ❯
multiple sources, ensuring consistency, accuracy, and performance Requirements: 1-2+ years of professional experience in a software development role Strong proficiency in Python, including data libraries such as pandas, numpy and scipy Experience building front-end applications in React or a similar framework Solid understanding of modern software engineering practices and clean code principles Comfortable working in a fast More ❯
plan on securing series A funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be … modelling skills but know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms More ❯
our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying More ❯
our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and/ More ❯
our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and/ More ❯
quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge … information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous More ❯
quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge … information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous More ❯
skilled in one of reinforcement learning, predictive modelling (classification and regression) and have a solid understanding of recommendation systems Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience with Spark Have experience in productionising machine learning modelsand/or real-time systems Have knowledge of DevOps technologies such as Docker and Terraform … experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, S3, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins On call statement: Please be aware that our Machine Learning Engineers are required More ❯
skilled in one of reinforcement learning, predictive modelling (classification and regression) and have a solid understanding of recommendation systems Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience with Spark Have experience in productionising machine learning modelsand/or real-time systems Have knowledge of DevOps technologies such as Docker and Terraform … experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, S3, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins On call statement: Please be aware that our Machine Learning Engineers are required More ❯
judged by the ability to deliver timely solutions to Portfolio and Risk Managers Required Skills/Experience: · Minimum 5 years of experience using Python and scientific python libraries (e.g., pandas, NumpPy, SciPy). · Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure, or GCP). · Prior experience in system design and data modeling, with the More ❯
algorithmic trading, preferably with a proprietary trading firm, hedge fund, or tier-one bank Strong programming skills in Python, C++, or Java Proficiency in using data science libraries (NumPy, Pandas, scikit-learn) and backtesting frameworks Deep understanding of market microstructure and electronic execution Bachelor’s/Master’s/PhD in a quantitative field (e.g. Mathematics, Physics, Computer Science, Engineering More ❯
