Lead Management Jobs in New Jersey
Lead Management jobs in New Jersey are concentrated in Newark, Jersey City, and Princeton, where pharmaceutical giants like Johnson & Johnson, Merck, and Becton Dickinson maintain large commercial operations that drive steady demand for lead management professionals. The most sought-after specialties include CRM strategy, pipeline optimization, and B2B lead generation, with openings ranging from associate-level coordinators to senior directors overseeing regional revenue teams. New Jersey's position between New York City and Philadelphia makes it one of the more active markets in the Northeast for this function. See the openings below and apply to the ones that match your experience.
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Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Quantitative Researcher in Wholesale Credit Risk Modeling team, you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.
Job responsibilities:
- Develop wholesale credit risk measurement models for portfolios such as Commercial and Industrial loans and structured product vehicles, including models supporting the bank's Current Expected Credit Loss estimation and Comprehensive Capital Analysis and Review processes
- Create rating and credit officer-facing modeling approaches to measure credit risk for commercial and corporate clients
- Assess model performance, limitations, and use appropriateness to identify and monitor model risk; design efficient numerical methods to support model estimation, calibration, and validation
- Implement high-performance computing solutions to improve model runtime and scalability
- Build reusable analytics software frameworks and integrate model outputs into downstream systems
- Analyze large, real-world datasets to derive insights that improve model accuracy and stability
- Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions and communicate methodology, results, and limitations clearly to model governance committees and regulators
Required qualifications, capabilities, and skills:
- Master's degree or PhD in a quantitative discipline (for example: economics, finance, physics, mathematics, or computer science)
- 5 plus years of experience developing statistical and/or economic models in a financial services or risk context, including hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
- 3 plus years of experience working with machine learning techniques in model development or analytics workflows, with demonstrated experience working with large datasets and building repeatable data pipelines for modeling
- Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
- Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
- Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language; a proven ability to collaborate across functions and translate business needs into quantitative solutions
- Strong attention to detail, with a disciplined approach to testing, documentation, and controls
- Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment
Preferred qualifications, capabilities, and skills:
- Doctorate in a quantitative discipline (for example: economics, finance, mathematics, or physics)
- Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration; knowledge of graph or network analytics for counterparty or contagion risk modeling
- Experience with Linux or Unix environments for research and production workflows; familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Quantitative Researcher in Wholesale Credit Risk Modeling team, you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.
Job responsibilities:
- Develop wholesale credit risk measurement models for portfolios such as Commercial and Industrial loans and structured product vehicles, including models supporting the bank's Current Expected Credit Loss estimation and Comprehensive Capital Analysis and Review processes
- Create rating and credit officer-facing modeling approaches to measure credit risk for commercial and corporate clients
- Assess model performance, limitations, and use appropriateness to identify and monitor model risk; design efficient numerical methods to support model estimation, calibration, and validation
- Implement high-performance computing solutions to improve model runtime and scalability
- Build reusable analytics software frameworks and integrate model outputs into downstream systems
- Analyze large, real-world datasets to derive insights that improve model accuracy and stability
- Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions and communicate methodology, results, and limitations clearly to model governance committees and regulators
Required qualifications, capabilities, and skills:
- Master's degree or PhD in a quantitative discipline (for example: economics, finance, physics, mathematics, or computer science)
- 5 plus years of experience developing statistical and/or economic models in a financial services or risk context, including hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
- 3 plus years of experience working with machine learning techniques in model development or analytics workflows, with demonstrated experience working with large datasets and building repeatable data pipelines for modeling
- Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
- Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
- Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language; a proven ability to collaborate across functions and translate business needs into quantitative solutions
- Strong attention to detail, with a disciplined approach to testing, documentation, and controls
- Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment
Preferred qualifications, capabilities, and skills:
- Doctorate in a quantitative discipline (for example: economics, finance, mathematics, or physics)
- Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration; knowledge of graph or network analytics for counterparty or contagion risk modeling
- Experience with Linux or Unix environments for research and production workflows; familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 24 Lead Management Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Lead Management JobsLead Management Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Lead Management Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in lead management jobs across New Jersey.
- Bachelor's degree in marketing, business, or a related field required
- Proven experience managing CRM platforms such as Salesforce or HubSpot
- Demonstrated ability to build and optimize lead generation pipelines
- Strong analytical skills for tracking conversion rates and campaign performance
- Experience collaborating with sales teams to align on qualification criteria
- Familiarity with marketing automation tools and lead scoring methodologies
Lead Management Jobs in New Jersey: Frequently Asked Questions
How do you become a lead management in New Jersey?
Most lead management roles in New Jersey require a bachelor's degree in marketing, business administration, or a closely related field, and there is no state-issued license specific to the role. Employers in New Jersey's life sciences and financial services corridors typically expect hands-on CRM experience, often gained through marketing coordinator or inside sales positions. Earning a recognized certification such as a HubSpot Marketing Certification or Salesforce Certified Marketing Cloud credential strengthens a candidate's profile considerably in this market.
Which companies hire lead managements in New Jersey?
New Jersey lead management roles are posted by JPMorganChase, AbbVie, and L3Harris and others right now, based on current listings on Migrate Mate as of October 2026. New Jersey's dense concentration of pharmaceutical, financial services, and technology companies means openings appear consistently across multiple industries rather than being limited to a single sector.
Which New Jersey cities have the most lead management jobs?
Jersey City, Florham Park, and Camden account for the largest share of lead management openings in New Jersey. Newark and Jersey City draw volume from financial services firms and corporate headquarters with regional offices, while Princeton and its surrounding corridor benefit from the pharmaceutical and biotech employers that have long operated major commercial and marketing functions there, creating steady demand for pipeline and lead generation specialists.
Are there remote lead management jobs in New Jersey?
Yes, and more than most fields. About 100% of lead management openings tied to New Jersey are remote or hybrid as of October 2026, reflecting how much of the work centers on digital tools and data platforms rather than in-person activity. The roles most likely to stay fully remote are those focused on inbound marketing automation and CRM administration, while positions requiring close collaboration with field sales teams tend to require at least some in-office presence.
How can I get hired as a lead management in New Jersey with little or no experience?
The most realistic entry path is securing a marketing coordinator or inside sales associate role at one of New Jersey's large pharmaceutical or technology employers, where structured rotational programs often expose junior staff to lead management workflows. Companies in the Princeton biotech corridor and Newark's corporate hub regularly onboard recent graduates into marketing operations teams. Building proficiency in a widely used CRM platform and earning a HubSpot or Salesforce entry-level certification before applying gives candidates a concrete, demonstrable edge over others without direct experience.
Where can I find and apply to lead management jobs in New Jersey?
You can find and apply to lead management jobs in New Jersey on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings to identify roles that match your background and experience level, then apply directly to the ones that fit.
See All 24 Lead Management Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Lead Management Jobs