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Credit Risk Data Science Jobs in Mount Laurel, NJ

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department Prevention Science Salary Details A minimum of $2,777 per credit. Offer Information The final salary ...

Td

Credit Analyst III - C&I & ICRE

Glassboro, NJ

$34.75 - $52/hr

Strong understanding of loan risk factors * May train/mentor/coach junior analysts * Researches ... Maintains credit files, monitors data such as updated financial statements and prepares updated ...

Firstrust Bank

Credit Officer

Conshohocken, PA · On-site

The role serves as a trusted risk partner to Relationship Management, providing sound credit ... reports and related data; to communicate effectively with customers, management, and staff ...

Firstrust Bank

Credit Officer

Conshohocken, PA · On-site

The role serves as a trusted risk partner to Relationship Management, providing sound credit ... reports and related data; to communicate effectively with customers, management, and staff ...

FirsTrust

Credit Officer

Conshohocken, PA · On-site

The role serves as a trusted risk partner to Relationship Management, providing sound credit ... reports and related data; to communicate effectively with customers, management, and staff ...

Td

Credit Management Associate III (US)

Mount Laurel, NJ · On-site

$24 - $33.50/hr

Performs lockdown control / QC Function post-approval of a customer request to verify approved terms by Credit Management and Credit Risk align to the loan origination system data * May provide ...

Citizens

Fraud Risk Analytics Manager

Philadelphia, PA · Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Citizens

Fraud Risk Analytics Manager

Philadelphia, PA · Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Citizens

Fraud Risk Analytics Manager

Philadelphia, PA · Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Citizens

Fraud Risk Analytics Manager

Philadelphia, PA · Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Mount Laurel, NJ

Credit Risk Data Science information

See Mount Laurel, NJ salary details

$36.6K

$112.8K

$195.6K

How much do credit risk data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for credit risk data science in Mount Laurel, NJ is $112,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $139,100.00 per year, depending on experience, location, and employer.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

What are popular job titles related to Credit Risk Data Science jobs in Mount Laurel, NJ?

For Credit Risk Data Science jobs in Mount Laurel, NJ, the most frequently searched job titles are:

What cities near Mount Laurel, NJ are hiring for Credit Risk Data Science jobs?

Cities near Mount Laurel, NJ with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Machine Learning / Data Science Engineer

CapTech Consulting

Philadelphia, PA • On-site

$115K - $138K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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