Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking More ❯
knowledge in other programming language(s) - e.g., Java, JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. Experience specifically dealing with fixed income financial products in asset management Role Responsibilities: Innovate, design and deliver in More ❯
Typescript, Kotlin Strong UI development experience using frameworks such as REACT 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 Commitment to Diversity, Equity, and Inclusion More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯
foundation in applied mathematics, statistics, econometrics, or computational finance—typically at the MSc or PhD level. Deep experience with Python and numerical libraries (NumPy, SciPy, Pandas, etc.). Experience in Fixed Income—ideally with exposure to macro or rates trading environments. A "traditional quant" mindset—someone who thrives on intellectual More ❯
foundation in applied mathematics, statistics, econometrics, or computational finance—typically at the MSc or PhD level. Deep experience with Python and numerical libraries (NumPy, SciPy, Pandas, etc.). Experience in Fixed Income—ideally with exposure to macro or rates trading environments. A "traditional quant" mindset—someone who thrives on intellectual More ❯
machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience with Python, R, and/or Java programming languages More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯
Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with automation frameworks in software testing (e.g., PyTest, Cucumber). More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯
Snowflake, Azure) with large datasets and with streaming data architectures. Demonstrated knowledge of large language models and generative AI. ML frameworks (Scikit-Learn, NumPy, SciPy, Pandas, XGBoost, Tensorflow, PyTorch, MXNet, LLM) Qualifications Required: Bachelor's Degree with 7 years experience; Master's Degree with 6 years experience; PhD with More ❯
Be the point of contact to our client representing Grey Matters Defense Solutions with their software releases About you: • 3+ years experience using Python SciPy NumPy Pandas Boto3 • 3+ years experience using AWS C2S Integration S3 SQS SNS AWS CLI • 3+ years experience using Linux Bash RHEL Derivatives • Integration ICD More ❯
profiling and debugging and understanding of system performance and scalability - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. - PhD More ❯
software development experience with a track record of delivering high-quality, production-grade code Experience with scientific computing libraries such as NumPy, Pandas, or SciPy in production environments Holistic software development mindset covering testing, documentation, security, and performance Track record of mentoring other engineers and sharing knowledge across teams Desirable More ❯
profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon is an equal opportunities employer. We believe passionately More ❯
discipline. Experience developing with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras, etc.). Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.). Understanding of software engineering best practices. Must be a US Citizen TS/SCI with willingness to sit for a Poly Additional Compensation More ❯
discipline. Experience developing with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras, etc.). Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.). Understanding of software engineering best practices. Must be a US Citizen. TS/SCI with willingness to sit for a Poly Additional Compensation More ❯
a blend of some of the following skills: Machine learning techniques - including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data preprocessing - working with large untidy datasets and the ability to clean and transform data in preparation for analysis More ❯
B testing, entity extraction, and feature engineering. Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity More ❯
Technology Man Group's systems predominantly run on Linux, and most of our code is written in Python, leveraging the full scientific stack: NumPy, SciPy, pandas, scikit-learn, to name just a few of the open-source libraries we use extensively. Systems requiring the highest data throughput are implemented in More ❯
development and testing of medical devices (e.g. Class II & Class III) • Extensive working experience in Python e.g. threading and multiprocessing libraries e.g. Pandas, Numpy, SciPy, PyTest, Cucumber, etc. •Strong expertise in development of System software test automation using Python •Experience in building frameworks and automating complex workflows using Python for More ❯
