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# Quantitative Data Scientist / ML Model Developer

- **Company:** BC Forward
- **Location:** Charlotte, NC, United States
- **Experience:** Starter
- **Salary:** $141,960.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Distributed Computing Environment, Statistical Hypothesis Testing, Information Retrieval, Python (Programming Language), Machine Learning, Regression Analysis, Natural Language Processing, Pattern Recognition, Tensorflow, Software Engineering, SQL Databases, Pytorch, Deep Learning, Scalability Testing, Keras, Information Technology, Plotly, Machine Learning Operations, Presto, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://www.disabledperson.com/jobs/74874760-quantitative-data-scientist-ml-model-developer

## About the Role

We are seeking an Quantitative Data Scientist / ML Model Developer to join our team. The ideal candidate will have strong experience in machine learning, natural language processing, and Python-based model development and a proven ability to design, build, validate, and deploy production-grade AI solutions in a regulated financial environment., * Advanced graduate degree in engineering, mathematics, statistics, computer science, actuarial science, economics, or related technical field.

 * Graduate-level background in machine learning, hypothesis testing, regression analysis, statistics, or probability, with experience building predictive analytics on noisy data.
 * 1-2 years of quantitative research experience in financial engineering, data science, or risk analytics within the securities domain.
 * Hands-on proficiency with Python or R and common DS/ML tools such as Plotly, Shiny, Presto, TensorFlow, Keras, and PyTorch.
 * Strong knowledge of advanced statistical methods, Bayesian techniques, pattern recognition, outlier detection, and predictive models including decision trees and random forests.
 * Knowledge of financial engineering for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management across equities, fixed income, currencies, futures, commodities, or derivatives.

Preferred Skills:

 * Proficient written communication with experience creating comprehensive model documentation.
 * Experience working within Agile development environments.

## Description

* 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.


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