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Freelance Credit Risk Modeling Jobs in Arizona (NOW HIRING)

You will also build and monitor credit risk models with an eye on loss forecasting and communicate the results to different teams such as Capital Market and Marketing. The candidate should have a ...

You will also build and monitor credit risk models with an eye on loss forecasting and communicate the results to different teams such as Capital Market and Marketing. The candidate should have a ...

Data Scientist (AHL)

Tempe, AZ ยท On-site

$140K - $160K/yr

Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting. * Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus.

Data Scientist (AHL)

Tempe, AZ ยท On-site

$140K - $160K/yr

Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting. * Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus.

Credit Analyst

Scottsdale, AZ ยท On-site

$100K - $150K/yr

... risk-based approach. Demonstrate experience in analyzing and underwriting complex credits ... A role model for our core values: Do the Right Thing, G.S.D. (Get Stuff Done), One Team, and Give ...

... risk-based approach. Demonstrate experience in analyzing and underwriting complex credits ... A role model for our core values: Do the Right Thing, G.S.D. (Get Stuff Done), One Team, and Give ...

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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.
What are the most commonly searched types of Credit Risk Modeling jobs in Arizona? The most popular types of Credit Risk Modeling jobs in Arizona are:
What are popular job titles related to Freelance Credit Risk Modeling jobs in Arizona? For Freelance Credit Risk Modeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in Arizona look for? The top searched job categories for Freelance Credit Risk Modeling jobs in Arizona are:
What cities in Arizona are hiring for Freelance Credit Risk Modeling jobs? Cities in Arizona with the most Freelance Credit Risk Modeling job openings:
Sr. Data Scientist (Credit Risk)

Sr. Data Scientist (Credit Risk)

Achieve

Tempe, AZ โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.

Job Description

We are looking for an experienced, hands-on Credit Risk, Sr. Data Scientist who is comfortable working with large data sets, coding in SQL and Python and gaining insights from the data and translating the results into actionable insights for business stakeholders. In this role, you will maintain and enhance our credit risk models/policies to monitor the portfolio and gain insights. You will also build and monitor credit risk models with an eye on loss forecasting and communicate the results to different teams such as Capital Market and Marketing. The candidate should have a passion for streamlining processes and building tools which can monitor models/portfolio effectively. You will be a key contributor to our risk management processes.

Key Responsibilities

  • Building, maintaining and enhancing credit risk models for lending portfolios.
  • Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring.
  • Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance (vintage, credit bands, borrower attributes, macro factors) and provide insight into model deviations.
  • Maintain forecast deliverables: monthly/quarterly loss forecasts by vintage and segment, stress and scenario analyses, sensitivity testing.
  • Provide commentary and insights to business stakeholders on credit policy assumptions, model health, and emerging portfolio risks.
  • Automate reporting, dashboards and pipelines to streamline model monitoring and improve efficiency and accuracy.
  • Document model methodologies, assumptions, data sources and results in clear, audit-ready format consistent with risk governance requirements.
  • Participate in governance and review of credit model methodology, model validation support and liaise with external auditors or regulators where needed.
  • Continuously identify opportunities to improve credit decisioning accuracy, data infrastructure, modeling techniques, and integrate advanced statistical or machine-learning techniques as appropriate.
Qualifications

Required:

  • Minimum of 3 yearsโ€™ hands-on experience in credit risk modeling and portfolio monitoring. For example, roles in model and performance monitoring, tracking charge-offs, delinquencies, vintage analysis, roll-rates, etc.
  • Strong programming skills in Python/SQL for data analysis, modeling and automation.
  • Solid background in Probability & Statistics
  • Experience with pricing and price optimization along with analytics and monitoring related to pricing
  • Experience with credit risk modeling methodologies: Scorecard models, XGBoost, time-series analysis, vintage modeling, roll-rate curves, survival analysis or logistic regression in consumer credit risk context.
  • Familiarity with data visualization tools (e.g., Tableau, Python Widgets) or dashboarding
  • Strong analytical and critical thinking skills; ability to interpret results, identify trends, draw actionable insights and communicate clearly to non-technical stakeholders.
  • Excellent documentation skills and experience in preparing audit-ready deliverables (methodologies, assumptions, model validation support).
  • Masterโ€™s degree in Economics, Statistics, Mathematics, Data Science or a related quantitative discipline (PhD preferred, but not required).


ย Preferred:

  • Experience in lending (personal loans or credit cards) or fintech lending environment.
  • Experience with credit risk modeling (development & monitoring)
  • Experience working with credit decisioning engines such as Oscilar, TakTile etcโ€ฆ
  • Experience working in CKLightbox environmentย 
  • Experience working in the GCP environment.
  • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team.

Additional Information

Achieve well-being with:

  • Hybrid and remote work opportunities
  • 401 (k) with employer match
  • Medical, dental, and vision with HSA and FSA options ย 
  • Competitive vacation and sick time off, as well as dedicated volunteer days
  • Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts
  • Up to $5,250 paid back to you on eligible education expenses
  • Pet care discounts for your furry family members
  • Financial support in times of hardship with our Achieve Care Fund
  • A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups

Note: We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa.

Work from home/hybrid:

We are proudly offering hybrid options in the Phoenix, AZ and San Francisco, CA metro market. We are offering 100% remote work in other approved locations.

Salary Range: $165,000 to $185,000 salary + bonus + benefits.

This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.

Join Achieve, change the future.

At Achieve, weโ€™re changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, youโ€™ll get to be a part of their journey to a better financial future. Weโ€™re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a jobโ€”itโ€™s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.


Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieveโ€™s Talent Acquisition leader.