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Manager Machine Learning Finance Jobs in New Jersey

The role focuses on use cases within wealth management, private banking, client advisory ... Knowledge of financial engineering for model development and validation is also required. Preferred ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

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Manager Machine Learning Finance information

What does a manager of machine learning in finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

How does a manager of machine learning in finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.

What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

Can manager machine learning finance be used in finance?

A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.

What are the most commonly searched types of Machine Learning Finance jobs in New Jersey?

The most popular types of Machine Learning Finance jobs in New Jersey are:

What cities in New Jersey are hiring for Manager Machine Learning Finance jobs?

Cities in New Jersey with the most Manager Machine Learning Finance job openings:

Machine Learning Engineer

Apex Systems

Jersey City, NJ โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Job#: 3049321
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.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex 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.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.