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Entry Level Risk Jobs in New Jersey (NOW HIRING)

Full-Stack Cloud Engineer

Florham Park, NJ · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Within our Risk Consulting practice, you will focus on creating applications that revolutionize ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Safety Coordinator

Secaucus, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is an hourly entry-level position. The Safety Coordinator serves as a designated safety ... Conduct risk assessments related to jobs performed (Job Hazard Analysis) and new equipment ...

Safety Coordinator

Secaucus, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is an hourly entry-level position. The Safety Coordinator serves as a designated safety ... Conduct risk assessments related to jobs performed (Job Hazard Analysis) and new equipment ...

Intern, Project Management

Hoboken, NJ · On-site

$32K - $38K/yr

Project Management InternRole Overview NiCE is looking for an entry-level professional to join its ... risk management, and business operations within a fast-paced technology environment. You will gain ...

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Wealth Management Advisor (Entry-Level Training Provided)

Saddle Brook, NJ · On-site

$34K - $125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Understand clients' financial objectives and risk tolerance to devise personalized strategies, offering clear recommendations and guidance Product and Service Consultation: Discuss financial products ...

Showing results 41-60

Entry Level Risk information

What is an entry level risk job?

Entry level risk jobs are positions designed for individuals who are new to the field of risk management, often recent graduates or those with minimal work experience. These roles typically involve assisting with the identification, assessment, and mitigation of risks within an organization, such as financial, operational, or compliance risks. Entry level risk professionals may work in industries like banking, insurance, or consulting and are often responsible for data analysis, preparing reports, and supporting senior risk analysts or managers. These roles provide foundational experience and training for advancing in a risk management career.

What are the key skills and qualifications needed to thrive as an entry level risk analyst, and why are they important?

To thrive as an Entry Level Risk Analyst, you typically need a bachelor's degree in finance, economics, statistics, or a related field, along with strong analytical and quantitative skills. Familiarity with risk assessment tools, Microsoft Excel, and data analysis software such as SAS or Python is highly valuable. Attention to detail, critical thinking, and effective communication are standout soft skills in this role. These competencies are essential for accurately identifying, evaluating, and communicating potential risks to help organizations make informed decisions.

What are some typical challenges faced by entry-level risk professionals, and how can they effectively overcome them?

Entry-level risk professionals often face the challenge of quickly understanding complex regulatory frameworks and internal risk management processes. Navigating large sets of data and learning to identify key risk indicators can also be daunting. To overcome these challenges, new hires should actively seek mentorship from experienced team members, participate in available training programs, and regularly review industry best practices. Building strong communication skills is also essential, as risk teams frequently collaborate with departments like compliance, audit, and operations.

How to become an entry level risk analyst with no experience?

To become an entry-level risk analyst with no experience, focus on gaining relevant skills such as data analysis, Excel, and understanding risk management principles through online courses or certifications like FRM or CAP. Internships or entry-level positions in finance, insurance, or compliance can provide practical experience and help build industry knowledge.

How to start a career in risk management?

To start a career in risk management, gain a bachelor's degree in finance, economics, or a related field, and develop skills in data analysis, problem-solving, and attention to detail. Entry-level roles often require familiarity with risk assessment tools and certifications like the Certified Risk Management Professional (CRMP) can enhance prospects.

What are the most commonly searched types of Risk jobs in New Jersey?

The most popular types of Risk jobs in New Jersey are:

What cities in New Jersey are hiring for Entry Level Risk jobs?

Cities in New Jersey with the most Entry Level Risk job openings:

Infographic showing various Entry Level Risk job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate

Pwc

Florham Park, NJ • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work.
In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. Your work will contribute to the broader objectives of your projects, fitting into the overall strategy and reinforcing professional and technical standards.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable software and platform systems using advanced algorithms and data engineering techniques
- Collaborating with clients to understand their needs and deliver tailored data solutions
- Utilizing programming languages such as Python and Java to build and deploy AI models
- Integrating data from various sources to enhance data quality and infrastructure
- Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance
- Conducting complex data analysis to support informed decision-making and business growth
- Building and maintaining data pipelines to streamline data processing and analysis
- Leveraging natural language processing tools to develop innovative text analytics solutions
- Mentoring junior team members and guiding them in technical and professional development
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and Java for complex data analysis and modeling
- Excelling in data integration and data pipeline development
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

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Benefits

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