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Credit Risk Data Science Jobs in Pleasanton, CA (NOW HIRING)

Intuit

Principal Credit Risk Analyst

Mountain View, CA · On-site

$236K - $319K/yr

The role as QuickBooks Capital credit risk lead analyst will dive into three main areas to help the ... Partner with our data science and data engineering teams to leverage the latest technology and ...

Intuit

Principal Credit Risk Analyst

Mountain View, CA · On-site

$236K - $319K/yr

The role as QuickBooks Capital credit risk lead analyst will dive into three main areas to help the ... Partner with our data science and data engineering teams to leverage the latest technology and ...

Intuit

Principal Credit Risk Analyst

Mountain View, CA · On-site

$236K - $319K/yr

The role as QuickBooks Capital credit risk lead analyst will dive into three main areas to help the ... Partner with our data science and data engineering teams to leverage the latest technology and ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Pleasanton, CA

Credit Risk Data Science information

See Pleasanton, CA salary details

$41.2K

$126.7K

$219.8K

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

As of Sep 14, 2026, the average yearly pay for credit risk data science in Pleasanton, CA is $126,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $156,400.00 per year, depending on experience, location, and employer.

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.

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 are popular job titles related to Credit Risk Data Science jobs in Pleasanton, CA?

For Credit Risk Data Science jobs in Pleasanton, CA, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Pleasanton, CA look for?

The top searched job categories for Credit Risk Data Science jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Credit Risk Data Science jobs?

Cities near Pleasanton, CA with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Pleasanton, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,738 per year, or $60.9 per hour.

Staff Data Scientist, Credit Risk ML -- Hybrid

Menlo Park, CA • On-site

Robinhood
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Posted 3 days ago

New

Robinhood rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Robinhood is on the lookout for a Staff Data Scientist to develop credit risk models that enhance customer acquisition and management strategies. This pivotal role involves collaborating with credit analysts and product managers to deliver impactful models that drive decisions in lending.

The ideal candidate will possess 7+ years of experience in data science, particularly in credit modeling, and have strong skills in SQL and Python. Join us to accelerate innovation in finance with a focus on responsible lending practices.

We offer competitive compensation, including bonuses and robust benefits, while our office experience is designed to foster a high-performing team culture.

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