IT and regulatory standards. Skills & Experience Strong proficiency in Python, with a focus on rapid prototyping and data driven applications. Solid understanding of multi-processing and AsyncIO. Experience with pandas, NumPy, and SQL for data analysis and transformation. Exposure to REST APIs, messaging systems, and integration with trading or risk platforms. Hands-on experience building front-end tools or GUIs. More ❯
IT and regulatory standards. Skills & Experience Strong proficiency in Python, with a focus on rapid prototyping and data driven applications. Solid understanding of multi-processing and AsyncIO. Experience with pandas, NumPy, and SQL for data analysis and transformation. Exposure to REST APIs, messaging systems, and integration with trading or risk platforms. Hands-on experience building front-end tools or GUIs. More ❯
and more on reliability and fixes. Key Skills: Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment. Extensive Python, NumPy and Pandas is required for this role. You must demonstrate a deep commercial background in the following areas: Extensive Python: Very strong, production-level Python coding and debugging skills. Production Environment: Proven More ❯
Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed More ❯
Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed More ❯
alignment between technology initiatives and business objectives. Required Qualifications: 6+ years of experience in full stack software development. Proficiency in sever side Python programming. Proficiency in data analysis using Pandas, Numpy, SciPy etc. Experience with object oriented design, distributed systems architecture, performance tuning. Experience with designing and programming relational database such as MySQL, RedShift, Oracle SQL Server, or Postgres. Experience More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting January 2026. To apply, please submit a formal application through our website: Dev10 More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting in January 2026. To apply, please submit a formal application through our website More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting January 2026. To apply, please submit a formal application through our website: Dev10 More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting in January 2026. To apply, please submit a formal application through our website More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting in January 2026. To apply, please submit a formal application through our website More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting January 2026. To apply, please submit a formal application through our website: Dev10 More ❯
to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning. Now hiring for our Data Engineer cohort starting January 2026. To apply, please submit a formal application through our website: Dev10 More ❯
e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data More ❯
e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data More ❯
OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research More ❯
of AI/ML models and data-driven tools. Drive best practices in data governance and scalable software design. Required Skills & Experience: Strong programming expertise in Python ideally - NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch Experience developing ETL/ELT pipelines and working with structured/unstructured data . Solid understanding of data structures, algorithms , and modern software engineering. Excellent More ❯
of AI/ML models and data-driven tools. Drive best practices in data governance and scalable software design. Required Skills & Experience: Strong programming expertise in Python ideally - NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch Experience developing ETL/ELT pipelines and working with structured/unstructured data . Solid understanding of data structures, algorithms , and modern software engineering. Excellent More ❯
King Of Prussia, Pennsylvania, United States Hybrid/Remote Options
Bitsoft International, Inc
Scientist with recent experience in the Financial Services domain, specializing in building scalable data models and delivering actionable insights for risk management, payments, and customer analytics. Skilled in Python (pandas, scikit-learn, PySpark), SQL, and data engineering pipelines to enable predictive and prescriptive analytics. Adept at working with large financial datasets, ensuring data quality, and collaborating with cross-functional teams More ❯
deployment and performance tuning. Leveraging statistical methods, data analysis, and modern compute infrastructure to improve research and execution workflows. What you need Strong programming background, primarily in Python (NumPy, Pandas, SciPy, etc.). Solid understanding of computer science fundamentals – algorithms, data structures, and software design. Experience within a quant, trading, or financial markets environment (hedge fund, prop desk, or similar More ❯
deployment and performance tuning. Leveraging statistical methods, data analysis, and modern compute infrastructure to improve research and execution workflows. What you need Strong programming background, primarily in Python (NumPy, Pandas, SciPy, etc.). Solid understanding of computer science fundamentals – algorithms, data structures, and software design. Experience within a quant, trading, or financial markets environment (hedge fund, prop desk, or similar More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Oliver Bernard
Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python, SQL, Pandas, etc.) is advantageous but not essential. A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Why Join Us Work in a dynamic, high-impact More ❯
Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python, SQL, Pandas, etc.) is advantageous but not essential. A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Why Join Us Work in a dynamic, high-impact More ❯
