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

York Risk Services

AI Data Scientist Sr.

Los Angeles, CA · On-site

$120K - $160K/yr

To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share ...

Yamaha

Global Risk & Analytics Manager

Cypress, CA

Use of Data Mining, approved Artificial Intelligence and Machine Learning technologies to analyze businessperformance * Conduct comprehensive analyses to assess levels of credit risk- including ...

cathaybank

Credit Analysis Officer

El Monte, CA · On-site

$26.44 - $31.25/hr

... industry data, competitive factors, historical performance, projected results, risks, and ... Review risk grading as appropriate to credit analysis to identify potential credit issues.

cathaybank

Credit Analysis Officer

El Monte, CA

$26.44 - $31.25/hr

... industry data, competitive factors, historical performance, projected results, risks, and ... Review risk grading as appropriate to credit analysis to identify potential credit issues.

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in El Segundo, CA

Credit Risk Data Science information

See El Segundo, CA salary details

$39.4K

$121.3K

$210.4K

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

As of Jun 21, 2026, the average yearly pay for credit risk data science in El Segundo, CA is $121,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $149,700.00 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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 cities near El Segundo, CA are hiring for Credit Risk Data Science jobs? Cities near El Segundo, 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 El Segundo, CA as of June 2026, with employment types broken down into 36% Full Time, 24% Part Time, 20% Temporary, and 20% Contract. Highlights an 59% In-person, and 41% Hybrid job distribution, with an average salary of $121,301 per year, or $58.3 per hour.
Senior Technical Product Manager, Data Science

Senior Technical Product Manager, Data Science

2K

Los Angeles, CA • On-site

$136K - $179K/yr

Full-time

Posted yesterday

Job description

Job Summary:
2K is a global video game company headquartered in Novato, California, known for publishing titles developed by influential game studios. They are seeking a Senior Technical Product Manager in Data Science to drive the vision and execution of data science strategies, enhancing player experiences through analytics and machine learning.
Responsibilities:
• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection.
• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR).
• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.
Qualifications:
Required:
• 6+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision
• Experience with data science tools and platforms, such as Python, SQL, Databricks, TensorFlow, and R
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact
• Ability to translate complex data insights into clear product strategies and business opportunities
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management
Preferred:
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field
Company:
2K is a development studio that develops and publishes sports-based video games. It is a sub-organization of Take-Two Interactive Software. Founded in 2005, the company is headquartered in Novato, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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