Application Programmer III

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

Machine Learning Engineer

Location: Jersey City, New Jersey (Onsite)

Employment Type: Contract

Contract Duration: 12 Months

Role Overview. This position involves applying advanced machine learning and natural language processing techniques to develop predictive analytics, information retrieval, and document intelligence solutions. The role focuses on use cases within wealth management, private banking, client advisory, compliance, or supervision. The successful candidate will develop production-grade AI systems and scalable data pipelines in a regulated financial institution.

Key Responsibilities

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

Required Qualifications

• Education: An advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial Science, Economics, or a related technical field is required.
• Experience: This role requires 1-2 years of experience in quantitative research, financial engineering, data science, or risk analytics within the securities industry. A background in machine learning, hypothesis testing, regression analysis, statistics, text analytics, and predictive analytics with noisy data is necessary.
• Technical Skills: Candidates must have experience with data prototyping and coding using tools such as Python or R, Plotly, Shiny, Presto, Tensorflow, Keras, or PyTorch. A strong knowledge of advanced statistical methods, Bayesian learning, pattern recognition, outlier detection, and predictive modeling methods like decision trees and random forests is essential. Knowledge of financial engineering for model development and validation is also required.

Preferred Qualifications

• Proficient communication skills.
• Experience writing model documentation.

Everforth Apex is a world‑class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Benefits Overview

• Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection.
• We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure.
• Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
• In terms of professional development, Everforth Apex hosts an on‑demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
• Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach.
• You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.