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Freelance Credit Risk Modeling Jobs in Arizona (NOW HIRING)

Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team ... Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team ... Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team ... Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI ...

... models and back-up plans. * Oversee adherence to the E*TRADE SelfDirected Compliance and ... line-of-credit monitoring for regulatory compliance, account restrictions, disbursements and ...

Senior IT Auditor

Phoenix, AZ · On-site

$93K - $122K/yr

Enterprise Risk Management, Credit risk, Market risk, Operational risk, Model risk, Liquidity risk, and/or Sarbanes-Oxley. Broad, general knowledge of the banking and financial services industry and ...

Senior IT Auditor

Phoenix, AZ · On-site +1

$93K - $122K/yr

Enterprise Risk Management, Credit risk, Market risk, Operational risk, Model risk, Liquidity risk, and/or Sarbanes-Oxley. Broad, general knowledge of the banking and financial services industry and ...

Manager - Risk Management

Phoenix, AZ · On-site

$89K - $150K/yr

... credit & fraud risk teams and business partners to ideate, and create solutions, capabilities, and strategies. • Leverage GenAI model in designing efficient strategies to reduce first party fraud ...

Senior Auditor

Phoenix, AZ · On-site +1

$80K - $98K/yr

Enterprise Risk Management, Credit risk, Market risk, Operational risk, Model risk, Liquidity risk, and/or Sarbanes-Oxley. Broad, general knowledge of the banking and financial services industry and ...

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Senior Credit Underwriter

Scottsdale, AZ · On-site

$140K - $175K/yr

The Sr Credit Underwriter's key responsibility is to assess risk in the borrower's business ... Financial modeling techniques and preparation of pro-forma financial statements and NOI/DSCR ...

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Freelance Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Freelance Credit Risk Modeler, and why are they important?

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

What is the difference between Freelance Credit Risk Modeling vs Credit Analyst?

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.
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Data Scientist - Portfolio Analytics & AI Innovation

Globe Telecom, Inc.

Globe, AZ

Full-time

Posted 19 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Globe Telecom, the Philippines' leading telecommunications company, is seeking a talented Data Scientist to join our Credit Risk Management & Finance AI Department. This role offers the opportunity to drive data-driven insights and develop advanced machine learning solutions that directly impact our portfolio performance and business strategy across our diverse services.

Key Responsibilities

Portfolio Analytics & Insights

  • Analyze complex datasets across consumer, enterprise, and corporate portfolios to generate actionable business insights

  • Develop comprehensive reporting frameworks to monitor and ensure achievement of portfolio quality targets

  • Collaborate with cross-functional teams to translate analytical findings into strategic recommendations

  • Design and implement advanced statistical models to assess portfolio performance and risk metrics

Machine Learning & AI Model Development

  • Build, train, and deploy machine learning and deep learning models for portfolio classification and segmentation

  • Develop predictive models to enhance credit risk assessment and customer behavior analysis

  • Implement end-to-end ML pipelines from data preprocessing to model deployment and monitoring

  • Research and integrate cutting-edge AI techniques to solve complex business challenges

Marketing Campaign Analytics

  • Conduct comprehensive post-campaign analysis to measure effectiveness and ROI of marketing initiatives

  • Analyze campaign performance decay patterns and temporal effectiveness trends

  • Develop models to understand campaign impact degradation over time and across customer segments

  • Create executive-level dashboards and presentations to communicate campaign insights

Technical Innovation

  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

  • Prototype and evaluate new analytical tools and methodologies

  • Contribute to the development of our AI/ML infrastructure and best practices

  • Participate in knowledge sharing sessions and technical discussions within the team

Required Qualifications

Technical Skills

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field

  • Advanced proficiency in Python programming with strong experience in data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)

  • Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures

  • Experience with data visualization tools and techniques for presenting complex analytical results

  • Familiarity with SQL databases and data warehousing concepts

Professional Attributes

  • Demonstrated eagerness to learn and adopt new techniques in deep learning and artificial intelligence

  • Strong analytical thinking and problem-solving capabilities

  • Excellent communication skills with ability to present technical concepts to non-technical stakeholders

  • Self-motivated individual who takes initiative and drives projects to completion

  • Collaborative mindset with experience working in cross-functional teams

What We Offer

Professional Growth

  • Opportunity to work with cutting-edge AI technologies at enterprise scale

  • Access to advanced training programs and certification opportunities

  • Mentorship from industry leaders in AI and risk management

  • Clear career progression paths within our growing AI organization

Impact & Innovation

  • Direct influence on business decisions affecting millions of customers

  • Collaboration with diverse teams across the largest telecommunications network in the Philippines

  • Exposure to complex, real-world challenges at the intersection of finance, risk, and technology

  • Opportunity to experiment with innovative approaches and emerging technologies

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.