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 »
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 »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication skills, Fluency in English is required 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 »
Processing (NLP) techniques. Experience working with real-world datasets formed by unstructured data. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud environments is not essential, but it would be beneficial. Experience with Large Language Models is highly desirable. Ideal Characteristics more »
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 »
programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. Strong problem-solving abilities and attention to detail, with a passion more »
in mind you’ll need to have the following: Extensive software engineering/data engineering experience with Python and it's associated libraries - Pandas, Numpy, PySpark. A background in Java/C# would be beneficial to show programming aptitude. AWS, Kafka, Redis Experience within a trading technology environment would be more »
for collection of new alternate datasets Design and Build Market Data APIs Implementation of Fundamental Trading strategies Technical Skills required – Excellent Python (inc. Pandas, NumPy, SciPy, et al) skills Experience of AWS, (Azure/GCP) beneficial 3+ years experience as a Quantitative Developer working directly with Trading and Research 2+ more »
experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a more »
You Proficiency in machine learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets 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 »
Investigate model performance issues (using your experience of debugging models). Requirements Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn). Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering. more »
principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving skills and attention to detail. Prior experience in a quantitative role at a hedge fund, proprietary trading firm, or financial 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 »
Person specification: Masters or PhD in a relevant field such as Applied Mathematics, Biomedical Engineering, Chemistry, Physics, Bioinformatics, or related Proficient in Python, SciPy, NumPy, Pandas. Experienced with a range of programming packages including R, SQL and Matlab Proven demonstrated background working with raw signal processing, data analysis and data more »
and performance of all trading systems. Provide support for deployed systems, diagnosing and resolving issues rapidly. Requirements: Strong proficiency in Python, with experience in NumPy, Pandas, or similar libraries. Understanding of multi-threaded applications and performance optimization. Background in computer science, engineering, mathematics, or a related field. Experience with real more »
and React Conatinerisation and IaaC: Docker, Terraform Databases: PostgreSQL, TimescaleDB & NoSQL Databases At least one major cloud platform (GCP Preferred) Familiarity with Python including NumPy, Pandas The Company A well backed start up who bring together huge experience within their space and are delivering a game changing platform within 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 »
