Urgent! Credit Strategy Data Scientist Job Opening In San Jose – Now Hiring San R&D Business Solutions LLC
Job Title: Credit Strategy Data Scientist Work Location: San Jose, CA Work Type: Remote Contract Type: W2 Only Work Authorization: Only GC / US Citizens About the Role: We are seeking a talented, data-driven, and motivated Credit Risk Strategy Analyst to join our growing Credit Risk team.
In this role, you will play a key part in shaping our credit risk assessment, data analytics, and loss mitigation strategies.
Youll leverage your expertise in data science, risk modeling, and business analytics to develop and refine predictive algorithms, identify emerging risk trends, and drive strategic decision-making.
The ideal candidate brings hands-on experience in Fintech or online payments, strong technical skills in SQL and Python, and a deep understanding of credit risk principles.
This is an opportunity to make a measurable impact by building smarter risk strategies that balance growth with responsible lending.
Key Responsibilities: Design and implement credit risk strategies and rules to detect, manage, and mitigate losses across portfolios.
Analyze large and complex datasets to identify loss trends, patterns, and root causes.
Develop and test predictive models to improve risk detection and optimize customer eligibility.
Conduct forensic reviews of novel or large loss cases, documenting findings and recommending improvements.
Partner with product, engineering, and operations teams to strengthen control systems and ensure seamless execution of risk strategies.
Build and maintain dashboards and visualizations to monitor the performance of implemented credit strategies and KPIs. Prepare and deliver presentations and insights to technical teams, business stakeholders, and leadership.
Utilize data analysis to design and implement strategies that balance customer growth and loss control.
Collaborate cross-functionally to ensure compliance, data quality, and efficient deployment of credit solutions.
Stay informed about industry trends, new technologies, and regulatory developments in credit risk management.
Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or a related quantitative field (or equivalent experience).
Minimum 2 years of experience in risk analytics, data analysis, or data science within Fintech, banking, or online payments.
Demonstrated ability to apply statistics and data science techniques to solve real-world business and risk problems.
Proficiency in SQL and Python, including experience with key data science libraries (e.g., pandas, NumPy, scikit-learn).
Advanced Excel skills for data analysis and reporting.
Experience working with large datasets and extracting actionable insights from structured and unstructured data.
Strong data visualization skills with tools such as Tableau (or equivalent).
Ability to clearly communicate complex analytical results to both technical and non-technical stakeholders.
Strong analytical, problem-solving, and decision-making abilities.
Comfortable working in ambiguous, fast-paced environments and driving analytics projects toward measurable outcomes.
Preferred Skills: Experience with AWS or other cloud-based data environments.
Familiarity with credit products, payment rule systems, and fraud prevention mechanisms.
Knowledge of machine learning techniques applied to risk modeling or loss forecasting.
Experience designing and maintaining real-time risk systems or data pipelines.
Background in project management, including the ability to manage competing priorities and multiple deliverables.
Strong business acumen with the ability to link data insights to strategic recommendations.
Expected Outcome: Development of dashboards and visual tools to track key KPIs of credit strategies.
Design and implementation of data-driven risk strategies that effectively control losses while maximizing eligible customers.
Delivery of data-backed insights and recommendations that drive measurable impact on credit performance.
Strong collaboration with product and engineering teams to deploy scalable, automated risk solutions in real time.
2-3 years
Risk Analytics, Fraud Mitigation, Python, SQL, AWS Quicksight, Tableau
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Unlock Your Credit Strategy Potential: Insight & Career Growth Guide
Real-time Credit Strategy Jobs Trends in San Jose, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Credit Strategy in San Jose, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 17445 jobs in United States and 1051 jobs in San Jose. This comprehensive analysis highlights market share and opportunities for professionals in Credit Strategy roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! San R&D Business Solutions LLC is currently hiring and seeking a Credit Strategy Data Scientist to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at San R&D Business Solutions LLC adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Credit Strategy Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in San Jose. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Credit Strategy Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the San R&D Business Solutions LLC's products or services and be prepared to discuss how you can contribute to their success.
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