Quantitative Data Scientist / ML Model Developer

• 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.

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.

• Start date: ASAP. Glider: ID verification.
• Candidates must include current and intended location on resume and submit at the correct local rate.
• Maximum submissions per supplier: 3.

Primary Skill:

AI - Model Development

Secondary Skill:

Python

Tertiary Skill:

Model validation and governance documentation

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.