Collaborate with product, compliance, finance, and data science teams to define scalable analytics ... risk strategy, KPIs, OKRs, data storytelling
Collaborate with product, compliance, finance, and data science teams to define scalable analytics ... risk strategy, KPIs, OKRs, data storytelling
Partner closely with Risk and Data Science to define clean contracts between research/prototype code and production backend systems. * Build internal tools that help the credit risk team review data ...
Partner closely with Risk and Data Science to define clean contracts between research/prototype code and production backend systems. * Build internal tools that help the credit risk team review data ...
Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...
Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...
Vision | We create the future of credit risk management through data, analytics, and risk process ... data science, and proficiency in quantitative programming languages. Key Activities This role ...
Vision | We create the future of credit risk management through data, analytics, and risk process ... data science, and proficiency in quantitative programming languages. Key Activities This role ...
Vision | We create the future of credit risk management through data, analytics, and risk process ... data science, and proficiency in quantitative programming languages. Key Activities This role ...
Vision | We create the future of credit risk management through data, analytics, and risk process ... data science, and proficiency in quantitative programming languages. Key Activities This role ...
Senior Staff Fraud Risk Analyst
$199K - $270K/yr
As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... heavily with the Data Science team in the development and deployment of risk and performance ...
Senior Staff Fraud Risk Analyst
$199K - $270K/yr
As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... heavily with the Data Science team in the development and deployment of risk and performance ...
Partnering with Data Science, Engineering, and commercial teams, you will bring new solutions to market while enhancing existing products across Experian's credit risk and decisioning ecosystem. You ...
Partnering with Data Science, Engineering, and commercial teams, you will bring new solutions to market while enhancing existing products across Experian's credit risk and decisioning ecosystem. You ...
Senior Staff Fraud Risk Analyst
Mountain View, CA · On-site
$199K - $270K/yr
As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... heavily with the Data Science team in the development and deployment of risk and performance ...
Senior Staff Fraud Risk Analyst
Mountain View, CA · On-site
$199K - $270K/yr
As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... heavily with the Data Science team in the development and deployment of risk and performance ...
As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... heavily with the Data Science team in the development and deployment of risk and performance ...
As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... heavily with the Data Science team in the development and deployment of risk and performance ...
You'll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating ...
You'll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating ...
You'll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating ...
You'll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating ...
Head of Data
San Francisco, CA · On-site
... data science roadmap across credit risk, growth, product analytics, and fraud • Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and governance • ...
Head of Data
San Francisco, CA · On-site
... data science roadmap across credit risk, growth, product analytics, and fraud • Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and governance • ...
Head of Data
$398K - $486K/yr
Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...
Head of Data
$398K - $486K/yr
Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...
Head of Data
San Francisco, CA · On-site
$398K - $486K/yr
Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...
Head of Data
San Francisco, CA · On-site
$398K - $486K/yr
Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...
B2B Credit Risk Manager
San Francisco, CA · On-site +1
... data/reporting tools (e.g., Tableau)**Preferred Qualifications**- 10+ years of experience in credit risk, collections, or finance roles in B2B operations in International Corporations.- Credit Risk ...
B2B Credit Risk Manager
San Francisco, CA · On-site +1
... data/reporting tools (e.g., Tableau)**Preferred Qualifications**- 10+ years of experience in credit risk, collections, or finance roles in B2B operations in International Corporations.- Credit Risk ...
Environmental Credit Risk Associate Bring your expertise to JPMorganChase. As part of Risk ... Bachelor's degree or equivalent education in environmental sciences or related fields, and may hold ...
Environmental Credit Risk Associate Bring your expertise to JPMorganChase. As part of Risk ... Bachelor's degree or equivalent education in environmental sciences or related fields, and may hold ...
Associate, Credit Risk Operations
San Francisco, CA · On-site
$130K - $160K/yr
What you'll do As an Associate, Credit Risk Operations, you will be conducting credit risk reviews ... Provide feedback on data, tools, 3rd party vendors etc. for continuous operations efficiency ...
Associate, Credit Risk Operations
San Francisco, CA · On-site
$130K - $160K/yr
What you'll do As an Associate, Credit Risk Operations, you will be conducting credit risk reviews ... Provide feedback on data, tools, 3rd party vendors etc. for continuous operations efficiency ...
This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ... Partner closely with data science teams to deploy and interpret predictive models, model forecasts ...
This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ... Partner closely with data science teams to deploy and interpret predictive models, model forecasts ...
This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ... Partner closely with data science teams to deploy and interpret predictive models, model forecasts ...
This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ... Partner closely with data science teams to deploy and interpret predictive models, model forecasts ...
Apply data analysis techniques to interpret results and provide insights and recommendations to management * Monitor industry trends and best practices in credit risk management to enhance decision ...
Apply data analysis techniques to interpret results and provide insights and recommendations to management * Monitor industry trends and best practices in credit risk management to enhance decision ...
Credit Risk Data Science information
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 are popular job titles related to Credit Risk Data Science jobs in California? For Credit Risk Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in California look for? The top searched job categories for Credit Risk Data Science jobs in California are:
What cities in California are hiring for Credit Risk Data Science jobs? Cities in California with the most Credit Risk Data Science job openings:
Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***
Projas Technologies, LLCMountain View, CA
Other
Posted 22 days ago
Job description
Staff Fraud & Risk Analyst Fintech & Data Insights
As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.
Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)
Key Responsibilities:
- Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
- Build intuitive dashboards and visualizations that guide strategic and operational decisions.
- Design and interpret A/B tests to optimize product performance and risk strategies.
- Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
- Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
- Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
- Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
- Investigate root causes of performance gaps and propose timely corrective actions.
- Maintain clean, reliable data pipelines and address data quality issues proactively.
Qualifications:
- 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
- Advanced SQL skills and working knowledge of Python for data manipulation and automation.
- Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
- Strong understanding of A/B testing principles and experimental design.
- Proven ability to influence decisions through data-driven recommendations.
- Excellent communication skills for translating complex data into actionable insights.
- Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.
fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling
About Projas Technologies
Sourced by ZipRecruiter
Company size
1 - 10 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2005