Finance ML Engineer - Predictive Analytics & NLP (Onsite)

Apex Systems; Jersey City (NJ); On-site; USD 85,000 - 140,000; Full time

Benefits offered by this job

Benefits package

ESPP

401K with company match

HSA

Employee Assistance Program (EAP)

Certification discounts

Professional development resources

Job summary

Everforth Apex in Jersey City, New Jersey seeks a Machine Learning Engineer to apply advanced ML and NLP techniques on wealth management and compliance use cases. You will build production-grade AI systems and scalable data pipelines within a regulated financial institution.

The role emphasizes model validation, governance, and collaboration with cross-functional teams. On-site work with a strong emphasis on data-driven decision making.

Qualifications

• Advanced degree in a technical field is required.
• 1–2 years of quantitative research, financial engineering, data science, or risk analytics experience.
• Experience with ML/NLP, hypothesis testing, regression, statistics, and predictive analytics with noisy data.

Responsibilities

• Apply ML and NLP to develop predictive analytics and document intelligence solutions.
• Develop production-grade ML/AI systems and scalable data pipelines in Python and SQL.
• Evaluate models with quantitative validation, monitoring, and scalability testing.
• Design scalable data pipelines and model workflows for large financial datasets.
• Prepare methodology, design, and governance docs to support model risk management.

Skills

Python

R

Statistical methods

Bayesian learning

Pattern recognition

Outlier detection

Predictive modeling

Decision trees

Random forests

Model risk management

Education

Advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial Science, Economics, or related field

Tools

Plotly

Shiny

Presto

TensorFlow

Keras

PyTorch

Job description

Everforth Apex in Jersey City, New Jersey seeks a Machine Learning Engineer to apply advanced ML and NLP techniques on wealth management and compliance use cases. You will build production-grade AI systems and scalable data pipelines within a regulated financial institution.

The role emphasizes model validation, governance, and collaboration with cross-functional teams. On-site work with a strong emphasis on data-driven decision making.