The successful candidate will be expected to:

• Help design and contribute to the alpha research platform
• Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
• Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
• Mentor junior resources
• Regularly interact with quantitative researchers and other stakeholders, and prioritise and implement features

The ideal candidate will have:

• 5+ years of Python experience in a quantitative finance setting
• Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
• Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
• Prior experience building alpha research or machine learning pipelines
• Highly analytical with strong problem-solving skills and attention to detail
• Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
• Ability to tune and debug runtime performance of data applications
• Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

What you'll do

The Delivery Engineering Group conducts Discrete-Event Simulation studies for Delivery impact analysis of mass-pro Run-Rate and/or E-flow Investment change-points for NM, Layout Inno/Renovation, and Capacity changes for manufacturing regionally across North America.

• Conduct mass production run-rate analysis studies utilizing Discrete Event Simulation and Data Analytics & Statistical tools to support Delivery run-rate target achievement in North America Weld and Assembly depts as part of BP theme activity.
• Fulfill manufacturing dept requests to study delivery impact due to NM/NM-Tech/Innovation E- Flow investment studies to determine feasibility and ROI by completing simulation model development, validation, scenario testing, sensitivity analysis and optimization.

What you need

• Minimum Educational Qualifications - Bachelor’s of Science in Industrial (and Systems) Engineering
• Minimum Experience 0-3 Years
• Simulation Software Experience Not Required, but Ideal.
• Knowledge of Basic Statistics and Basic Excel Functions.
• Strong verbal and written skills to communicate effectively both with customers and internal project team

XML job scraping automation by YubHub