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Remote Credit Risk Modeling Jobs in California (NOW HIRING)

In this role, you will maintain and enhance our credit risk models/policies to monitor the ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

In this role, you will maintain and enhance our credit risk models/policies to monitor the ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

In this role, you will maintain and enhance our credit risk models/policies to monitor the ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

May work in one of five disciplines, each responsible for a different type of modeling: 1) Credit ... Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Master ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Domain experience in financial services, with exposure to credit lending, credit risk modeling, and ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Domain experience in financial services, with exposure to credit lending, credit risk modeling, and ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Remote work may be considered for exceptional cases. RESPONSIBILITIES * Perform due diligence and ... Recommend internal credit ratings and risk-based limits, partner payment terms, and prepare written ...

Credit Analyst II

Calabasas, CA · On-site +1

$35 - $40/hr

Maverick's team includes underwriting, risk management, compliance & legal, technology & product ... This position will consider remote work for candidates in the following states: AZ, CA (Outside of ...

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Remote Credit Risk Modeling information

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

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

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

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What are the most commonly searched types of Credit Risk Modeling jobs in California? The most popular types of Credit Risk Modeling jobs in California are:
What are popular job titles related to Remote Credit Risk Modeling jobs in California? For Remote Credit Risk Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in California look for? The top searched job categories for Remote Credit Risk Modeling jobs in California are:
What cities in California are hiring for Remote Credit Risk Modeling jobs? Cities in California with the most Remote Credit Risk Modeling job openings:

Sr. Data Scientist (Credit Risk)

Achieve

San Mateo, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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 years' 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).
  • Master's degree in Economics, Statistics, Mathematics, Data Science or a related quantitative discipline (PhD preferred, but not required).


 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 etc...
  • Experience working in CKLightbox environment 
  • 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  
  • 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, we'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, you'll get to be a part of their journey to a better financial future. We'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 job-it'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 Achieve's Talent Acquisition leader.