in financial markets, particularly rates, FX, or credit. Proficiency in financial mathematics, modeling, and statistics. 3+ years of development experience with Python (pandas/numpy, etc.) Strong analytical skills and problem-solving capabilities. Proven experience working in a front-office trading environment. Excellent communication skills and ability to work independently more »
markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and more »
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 »
engagement. Present the findings and recommendations to senior management clearly and compellingly. Requirements: Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy). Proven experience as a Data Scientist, preferably within the retail industry. Exceptional stakeholder management and influencing skills. Bachelor's degree or higher in Computer more »
financial markets Solid understanding of financial markets and products – ideally equities Strong Python skills including data analysis libraries and visualisation tools (Matplotlib, ploty, pandas, numpy) Strong understanding of software development lifecycle and practices including CI/CD Degree or Masters in Engineering, Computer Science, Mathematics or related This is a more »
solutions through architecting and deploying AWS-based systems, and constructing ETL pipelines entirely from scratch. Requirements: 5 years+ commercial experience with Object Oriented Python - Numpy, Pandas, Matplotlib Strong knowledge of AWS Knowledge of SQL Ambitious get up and go mind set Strong communication skills STEM degree (Computer Science degree preferred 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 »
/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage 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 »
principles. Proficiency in working with large datasets and databases (e.g., SQL, NoSQL). Hands-on experience with data processing frameworks/libraries (e.g., Pandas, NumPy, Spark). Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with distributed computing platforms (e.g., Hadoop, Apache 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 »
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 »
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 »
excel in data analysis and visualization. a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others) Able to use sql syntax writing and workflows You have good familiarity with file/data formats, such as markdown 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 »
