ML Engineer—Finance Analytics (Contract, Onsite)

Apex Systems; Jersey City, Northern (NJ, KY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

401K with company match

ESPP program

HSA plan

EAP

Job summary

Everforth Apex is seeking a Machine Learning Engineer to develop predictive analytics and document intelligence solutions in a regulated financial environment. The role emphasizes production-grade ML systems, scalable data pipelines, and governance documentation.

Candidates should have an advanced degree and 1–2 years in quantitative roles within securities, with strong Python/R and ML framework experience. Onsite in Jersey City offers collaboration in a fast-paced team.

Qualifications

• Advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial Science, Economics, or related field.
• 1–2 years of experience in quantitative research, financial engineering, data science, or risk analytics in securities.
• Experience with ML, hypothesis testing, regression, statistics, text analytics, and predictive analytics with noisy data.

Responsibilities

• Applying advanced ML and NLP techniques to develop predictive analytics and document intelligence solutions.
• Developing production-grade ML and AI systems using Python, SQL, distributed data processing, and software engineering practices.
• Evaluating ML/AI solutions through validation, performance monitoring, accuracy measurement, and scalability testing.
• Designing scalable data pipelines and model workflows for large structured and unstructured financial datasets.
• Preparing model methodology, technical design, performance evaluation, and governance docs to support model risk management and auditability.

Skills

Data prototyping

Python or R

Statistical methods

Bayesian learning

Predictive analytics

Education

Advanced graduate degree in Engineering/Math/CS

Tools

Plotly

Shiny

Presto

TensorFlow

Keras

PyTorch

Job description

Everforth Apex is seeking a Machine Learning Engineer to develop predictive analytics and document intelligence solutions in a regulated financial environment. The role emphasizes production-grade ML systems, scalable data pipelines, and governance documentation.

Candidates should have an advanced degree and 1–2 years in quantitative roles within securities, with strong Python/R and ML framework experience. Onsite in Jersey City offers collaboration in a fast-paced team.