Finance, Collections, Operations, and other stakeholders. What you'll need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. 2-5 years of More ❯
DevOps Methodologies: experience of working on Agile projects Good understanding of SOA/Microservices based architectures Good understanding of OOP, SOLID principles and software design patterns Knowledge of Python (Jupyter notebooks) Benefits offered Bonus, Pension (9% non-contributory plus additional matched contributions), 4 x Life Assurance, Group Income Protection, Season Ticket Loan, GAYE, BUPA Private Medical, Private GP, Travel Insurance More ❯
and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning More ❯
to generate analytics that enhance client service, partnering with traders, salespeople, and strategists across asset classes to promote platform adoption and deliver relevant, timely content. Key technologies include Python, Jupyter, Pandas, Trino, and SQL. RESPONSIBILITIES AND QUALIFICATIONS: Design and implement programmatic solutions to meet client needs Proficient in scripting languages such as Python Knowledge of data science and machine learning More ❯
service. You will work closely with Traders, Salespeople, and Strats across asset classes to produce insights that promote platform adoption and deliver relevant, timely content. Technologies used include Python, Jupyter, Pandas, Trino, and SQL. RESPONSIBILITIES AND QUALIFICATIONS Passion for designing and implementing programmatic solutions to client needs Excellent programming skills in languages like Python Knowledge and experience in data science More ❯
effectively and confidently Build great relationships with Data Science, Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau, Looker More ❯
revolution. The Solutions Engineering Team works closely with Bloomberg clients to assist them to implement quantitative investment strategies and research using our new Python Quant development platform. Powered by JupyterLab, the quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them More ❯
/AI/LLM Solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies. Comfortable working with Python and Jupyter Notebooks. Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences. High tolerance for ambiguity. You can identify More ❯
workflows, and the data science ecosystem Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks A solution-oriented mindset and the ability to thrive in a fast-moving environment A strong desire to learn, adapt, and continuously grow both commercially and technically Based in More ❯
the business to use, such as customer benchmarking. Support the delivery of ad hoc data and insights to various parts of the business, utilising tools such as Python, SQL, Jupyter notebooks and spreadsheets. Support the Retail Strategy team by providing the data and visualisations necessary to tell the right story to clients. Responsibilities Work from briefs provided by the Business … Data Analytics Lead to find and extract the relevant data from the Ometria platform. Utilise SQL to query databases and use Python with Jupyter notebooks to analyse and present data. Build data-related tools for business use based on briefs from the manager. Ensure the accuracy and sense-check the results of data queries, with a high level of attention … datasets that can be turned into engaging content. Requirements You have sound SQL skills and experience extracting data from databases. You have basic Python skills and experience working with Jupyter notebooks. A bachelor's degree in a quantitative subject is preferred. You have an eye for detail and the persistence to resolve data issues based on a given brief. You More ❯
and system integrations across the data stack. Design and support secure, scalable systems using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets. If you are interested in this Big Data Engineer More ❯
London, England, United Kingdom Hybrid / WFH Options
Airbus
driven methods. Design and execute structured threat hunting playbooks based on known TTPs (e.g., MITRE ATT&CK) and emerging threats, enabling consistent, repeatable hunts. Develop code-based playbooks (e.g., Jupyter Notebooks or Python scripts) that integrate threat intelligence, log sources, and detection logic-making them reusable by SOC, IR, and detection engineering teams. Collaborate with detection engineers to convert hunt … tools (e.g., Splunk, ELK), threat intelligence platforms (e.g., MISP, ThreatConnect), and endpoint detection tools (e.g., EDR/XDR). Experience building code-based hunting or automation playbooks (e.g., Python, Jupyter Notebooks, PowerShell ). Familiarity with scripting or automation for IOC enrichment, API integrations , and telemetry analysis. Ability to correlate multiple data sources and pivot across logs, alerts, and CTI for More ❯
a dynamic, fast-paced environment; retail focus preferred. You have experience assessing data work and have previously extracted data from databases using SQL and analysed data using Python and Jupyter Notebooks. You are capable of acting as a trusted advisor when presenting data and insights to key internal stakeholders in multiple departments. You are able to see the bigger picture More ❯
adoption, user engagement, and client satisfaction to measure the success and identify areas for improvement Stay Ahead of the Curve: Continuously monitor advancements with our integrated platforms (eg Excel, Jupyter and more) to identify new opportunities to drive user engagement and satisfaction You'll need to have: 5+ years of product management experience, demonstrating strong execution capabilities Strong understanding of More ❯
adoption, user engagement, and client satisfaction to measure the success and identify areas for improvement Stay Ahead of the Curve: Continuously monitor advancements with our integrated platforms (eg Excel, Jupyter and more) to identify new opportunities to drive user engagement and satisfaction You'll need to have: 5+ years of product management experience, demonstrating strong execution capabilities Strong understanding of More ❯
