City of London, London, United Kingdom Hybrid / WFH Options
Hartree Partners
Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
investment professionals to understand requirements and deliver solutions What we’re looking for: Strong Python developer with deep experience using statistical and numerical libraries (NumPy, pandas, SciPy etc.) Proven experience supporting quant or systematic investment strategies Good understanding of infrastructure – ideally AWS and Snowflake – and willingness to own setup and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Bank of America
Looking For: Previous experience at a tier-one bank or large financial organisation is a plus. Extensive proficiency in Python, including libraries such as numpy and scipy. Experience in Market Risk/Trader Risk development is highly advantageous, though not mandatory. Strong knowledge of Rates and Fixed Income products is More ❯
Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit More ❯
years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯
R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. More ❯
R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. More ❯
Risk. Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Quant Developer Python: Blackrock numeric data processing: numpy, scipy text data processing: pyarrow, pandas databases: sqlalchemy, psycopg parallelization: multiprocessing, concurrent.futures More ❯
and internal analytics tools Contribute to the evolution of our tech stack and architecture What we’re looking for: Strong Python skills (incl. pandas, numpy, asyncio, etc.) A STEM degree from a reputable university Solid understanding of software engineering best practices Ability to work autonomously in a fast-paced, intellectually More ❯
technically strong, but solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
EveryMatrix
field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to More ❯
Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯
to quick-turnaround projects Data science project experience Nice to Have: Experience with serverless architectures or data engineering frameworks Knowledge of tools like Pandas, NumPy, or integration with ML models Insurance Start: ASAP Duration: 3 months (extension possible) Location: 3 days on site (UK only) IR35: Outside More ❯
field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to More ❯
field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to More ❯
record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. More ❯
background in statistics, mathematics, econometrics or related field Hands-on experience developing and validating trading strategies Proficient in Python and data science libraries (pandas, NumPy, scikit-learn) Familiarity with backtesting frameworks and time-series modelling Bonus Points Experience in crypto or digital asset markets Exposure to LLMs or AI-powered More ❯
Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into web More ❯
experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to More ❯
Requirements Fluent in Python 3 Strong affinity for data, data cleansing and transformation/data wrangling and analysis, both visually and with Python (Pandas, Numpy) Confident use of REST APIs, JSON, SQL (ideally Snowflake) Strong coding standards and practices - clean code, testing, code reviews, version control (git) Experience with Machine More ❯
proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience More ❯
year of Python experience, with familiarity in frameworks like Flask or Django. Basic knowledge of SQL and experience with data manipulation libraries (Pandas, NumPy). Organized, self-motivated, and effective at time management. Strong critical thinking and teamwork skills. This is a fantastic opportunity to grow within a supportive and More ❯
