Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for more »
statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This more »
Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and more »
modeling, Pricing, and optimization. Day to day you will focus on creating new models and building and implementing new libraries in Python (Pandas and Numpy), you will contribute to a large-scale codebase. Requirements: - Production-level coding in Python with scientific stack, Pandas (C++ is a plus!) - Mathematically minded - Quantitative more »
to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills. Preferred Qualifications: Experience with financial modeling libraries (e.g., QuantLib, pandas, numpy). Knowledge of regulatory requirements such as Basel III, Dodd-Frank, and CCAR. Familiarity with database systems and querying languages (e.g., SQL). Demonstrated ability more »
statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This 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 »
and digital communication systems will be highly valued. · Signal Processing : Knowledge of signal processing algorithms and proficiency in tools such as MATLAB or Python (NumPy, SciPy) for the simulation and analysis of communication systems. · Regulatory Knowledge : Familiarity with international regulatory standards and compliance requirements for wireless systems (e.g., FCC, ETSI more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel to City of London location 2 times more »
on Mid to High Frequency equities Strong Python programming experience (KDV/Q would be a bonus) Good knowledge and understanding of Jupyter, Pandasm Numpy, Sklearn Demonstrated knowledge and understanding of mathematical modelling, statistical analysis and probability theory. Experienced in conducting alpha research Demonstrated successful in building uncorrelated alphas and 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 »
maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is a fit with the more »
Well-established systematic hedge fund is looking for a new Python Quantitative Developer to join their Trading Technology Team in London. This is a front office role and a combination of software/core development and some maths/quant more »
s or Master's degree in Computer Science, Mathematics, or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience more »
Proficient with data structures and algorithms, with good experience handling unstructured data. Sound knowledge and experience of core Python, data science libraries such as Numpy, Pandas and Scipy and deep learning frameworks Keras, TensorFlow and/or PyTorch. Strong analytical and problem-solving skills, with the ability to tackle complex more »
Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and insight more more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
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 »
or sponsorship Analytical background, as evidenced by a STEM degree in a technical subject Competencies in Python and the Python data science ecosystem (pandas, numpy, scikit-learn etc.) or highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision trees more »
in developing large language models based on transformer/mamba architectures. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Strong background in machine learning algorithms and deep more »
libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of 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 »
Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for more »
