Onsite Quantitative Data Scientist & ML Model Developer

BC Forward; Charlotte (NC); On-site; USD 135,000 - 150,000; Full time

Job summary

BCforward is seeking a Quantitative Data Scientist / ML Model Developer to join our team in Jersey City, NJ. The role focuses on building production-grade AI solutions for regulated financial environments, with an emphasis on NLP, predictive analytics, and robust model governance.

Ideal candidates have strong ML expertise, Python/R skills, and experience delivering scalable data pipelines for large financial datasets. Onsite collaboration is required for this contract position.

Qualifications

• Advanced degree in STEM fields.
• ML/NLP background with predictive analytics for finance.
• 1–2 years in financial engineering or risk analytics.

Responsibilities

• Apply advanced machine learning and NLP to deliver predictive analytics, information retrieval, and document intelligence for wealth management, private bank, advisory, compliance, and supervision use cases.
• Develop production-grade ML and AI systems using Python, SQL, distributed processing, and model-serving infrastructure aligned to software engineering standards.
• Evaluate solutions with quantitative validation, monitoring, accuracy and latency analysis, scalability testing, and production-readiness assessments.
• Design and implement scalable data pipelines and model workflows for large structured and unstructured financial datasets.
• Prepare model methodology, technical design, performance evaluation, limitations, monitoring controls, and governance documentation for model risk management and audit.

Skills

Python

R

TensorFlow

Keras

PyTorch

Plotly

Shiny

Presto

Bayesian methods

Model validation

Education

Advanced degree in STEM fields

Tools

Python

R

TensorFlow

Keras

PyTorch

Plotly

Shiny

Presto

Job description

BCforward is seeking a Quantitative Data Scientist / ML Model Developer to join our team in Jersey City, NJ. The role focuses on building production-grade AI solutions for regulated financial environments, with an emphasis on NLP, predictive analytics, and robust model governance.

Ideal candidates have strong ML expertise, Python/R skills, and experience delivering scalable data pipelines for large financial datasets. Onsite collaboration is required for this contract position.