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Remote Machine Learning Quant Jobs in New Jersey

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Cigna

Data Science Advisor - Hybrid

Morris Plains, NJ · On-site +1

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Chubb

Senior Assistant Actuary

Jersey City, NJ · On-site +1

$116K - $190K/yr

Fully remote will be considered for strong candidates. Responsibilities: Pricing, Modeling ... machine learning techniques and data mining is a plus * Excellent analytical and quantitative ...

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109K - $157K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Varsity Tutors

Statistics Graduate Level Tutor

Summit, NJ · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

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Remote Machine Learning Quant information

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in New Jersey? The most popular types of Machine Learning Quant jobs in New Jersey are:
What are popular job titles related to Remote Machine Learning Quant jobs in New Jersey? For Remote Machine Learning Quant jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in New Jersey look for? The top searched job categories for Remote Machine Learning Quant jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Machine Learning Quant jobs? Cities in New Jersey with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you
AI & Automation Enablement Lead

AI & Automation Enablement Lead

Willis Towers Watson (WTW)

Mount Laurel, NJ • Remote

Full-time

Re-posted 20 days ago

Willis Towers Watson rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

40th of 148 rated financial services

Job description

The Role

Strategic Partnership & Collaboration

  • Act as the primary liaison between GCO, the WE DO Corp IT Platforms team, and the Automation and AI COEs, fostering a collaborative and transparent working relationship.
  • Partner with crossfunctional stakeholders to understand business needs and build technology solutions that support operational goals.

Technology Strategy & Roadmap Development

  • Maintain currentstate assessments of GCO tools, systems, and processes, documenting strengths, gaps, and opportunities.
  • Establish and maintain a comprehensive technology and automation roadmap that aligns with organizational priorities and futurestate vision.

Process Optimization & Automation

  • Identify opportunities to streamline workflows, reduce manual effort, and improve operational efficiency through automation and process redesign.
  • Recommend and shape automation solutions that deliver measurable impact on efficiency and cost reduction.

Technology Implementation

  • Partner closely with IT teams to design, evaluate, and implement technology solutions-including RPA, AI, machine learning, and other emerging capabilities.
  • Support project planning, requirements gathering, development, testing, and deployment to ensure successful implementation of new tools and features.

Vendor Partnership

  • Collaborate with Vendor Management to evaluate external technology partners and provide feedback on vendor performance, capabilities, and future enhancements.

Change Adoption

  • Promote continuous learning and encourage team proficiency in emerging technologies, automation and AI.

Work Environment

  • Operate effectively in a fully remote role, demonstrating accountability, communication, and selfmanagement.
  • Contribute to a collaborative and highperforming team culture.

  • This role will require working US hours.

The Requirements 

Core Competencies

  • Strong communication and relationshipbuilding skills, with the ability to collaborate across IT, business operations, and vendor teams.
  • Strategic mindset with the ability to translate business needs into practical technology solutions.
  • Demonstrated capability in process analysis, workflow optimization, and the application of automation tools.
  • Proven ability to lead crossfunctional initiatives and influence without formal authority.

Technical Skills

  • Experience with automation platforms, RPA tools, and emerging technologies such as AI and machine learning.
  • Ability to evaluate technology capabilities and document requirements for both business and technical audiences.

Additional Preferred Skills

  • Background in technology planning, operational workflow design, or digital transformation.
  • Experience assessing vendor tools and collaborating with thirdparty providers.
  • Strong facilitation and training skills to support user adoption.

WTW is an Equal Opportunity Employer 

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What Willis Towers Watson employees say

Pay

Benefits

Hours and flexibility

Workplace

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