Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL more »
Greater London, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Data Scientist/Analyst - London - Hybrid - £50,000-£60,000 SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib Please note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered). … They are on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python ( Pandas , NumPy etc.), Machine Learning , client - facing skills - does that sound like you? The role involves hybrid working (every Monday and Tuesday in the office and three … or get in touch at tom.hannah@opusrs.com. Data Scientist/Analyst - London - Hybrid - £50,000-£60,000 SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib more »
range: £50,000-£70,000 + benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a more »
for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn. Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc). Experience with Vertex AI Understanding of CI/CD pipelines and more »
decisions. Stay abreast of industry trends and incorporate new technologies to enhance existing systems. Qualifications: Strong proficiency in Python and experience with relevant libraries (NumPy, pandas, etc.). Solid understanding of quantitative finance concepts and familiarity with financial instruments. Experience working in a hedge fund or similar quantitative environment is more »
Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to more »
version control. Additionally, you demonstrate proficiency in Git, Unix, and pytest. You're familiar with popular Python data mining and wrangling libraries, including pandas, numpy, sklearn, pytorch, langchain, llamaindex, bedrock, sagemaker, huggingface, mlflow, gradio, Flask, FastAPI, SQLAlchemy, psycopg2, boto3, gunicorn, pytest, and scrapy Experience with cloud services like Microsoft Azure more »
appropriate and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »
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 Python with one more »
instruments Build order execution and order management improvements Improve and refine back office systems Requirements: Strong Python coding skills with experience in Pandas and Numpy BSc in CompSci or similar STEM subject Strong version control, testing and continuous integration. Good SQL Skills. For more information, please can you apply with more »
super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in more »
and excellence. Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong more »
the sport (rules, terminology, insight). Proficiency in Python. Experience using relational databases and SQL. Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. Ability more »
of experience developing AI-based products Experience of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not more »
members. Experience : Strong experience with cloud data and ML services. Proficiency in deep-learning frameworks (TensorFlow, PyTorch, etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-series analysis etc. Master's or PhD in more »
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 »
degree Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software more »
a highly effective engineering team, building and supporting a portfolio management platform. Responsibilities: * Coding in JavaScript/TypeScript (React, Redux, NodeJS) and Python (pandas, numpy) * Writing and maintaining unit tests, integration tests, and E2E tests, promoting good testing standards * Using internal tooling to manage services running in AWS * Designing data more »
office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series more »
including data scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to more »
City of London, London, United Kingdom Hybrid / WFH Options
Oliver Bernard Ltd
Arrangements: Hybrid (2-3 days p/w in office) Salary: £120,000 - £130,000 Industry: Consultancy/Finance Tech Stack: Python, SQL, Pandas, Numpy Great opportunity for a talented Developer (Python, SQL, Pandas, Numpy) to join a tech consultancy that deliver greenfield platforms for their clients. The Company Renowned … in the world, they operate across the globe and a renowned household name. The Role ✨ They are seeking a skilled Developer (Python, SQL, Pandas, Numpy) to join a Front Office equity trading team. This is a great opportunity to join a Front Office team (Python, SQL, Pandas, Numpy), working directly … on design and architecture and overseeing the scalability of infrastructure. Desired Skills ⚙️ Python (Django or FastAPI a plus but not a requirement) SQL Pandas, Numpy Postgres, MongoDB Benefits 10% matched pension Health Insurance If you are a skilled Developer (Python, SQL, Pandas, Numpy) who is interested in this role then more »
