Quantitative Data Scientist / ML Model Developer

Job Title: Quantitative Data Scientist / ML Model Developer

Location: Jersey City, NJ (Required 3 days onsite)

Duration: Contract - 12 months

Pay Range: $68.25/hr (W2)

Job ID: 409251

About BCforward

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.

Job Description

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.

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.

Required Skills & Qualifications:

• 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.

Additional Details

• Onsite requirement: 3 days per week in Jersey City, NJ.
• 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.

About Our Commitment

BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume.