Energy Jobline ZR
Credit Strategy Data Scientist Remote Contract in San Jose
Energy Jobline ZR, San Jose, California, United States, 95199
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Job DescriptionJob Description
Credit Strategy Data Scientist Remote
Contract
opportunity with our San Jose, CA client
We are seeking a talented and data-driven Credit Strategy Data Scientist to join our clients Credit Risk Strategy team. This role focuses on credit risk assessment, data analysis, and the development of predictive strategies to mitigate losses and optimize customer eligibility. Ideal candidates will bring strong analytical skills, a strategic mindset, and hands-on experience working with large datasets in the fintech or online payments space.
Responsibilities:
Design rules and strategies to detect and mitigate credit losses
Investigate high-impact or complex credit risk cases and identify root causes
Collaborate with product and engineering teams to improve control capabilities
Develop, refine, and present credit strategies for execution
Balance customer experience and business risk to maximize eligible customers while minimizing losses
Create dashboards and visualizations to track KPIs and strategy performance
Analyze data using internal platforms (e.g., RaaS) to identify loss patterns and propose optimizations
Communicate findings and strategic recommendations to technical and non-technical stakeholders
Qualifications:
Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or related field (or equivalent practical experience)
2+ years of experience in risk analytics, data science, or data analysis in fintech or online payments
Strong proficiency in SQL, Python, Excel, and core data science libraries
Experience working with large datasets and conducting complex data analyses
Ability to clearly communicate technical results through dashboards, visualizations (e.g., Tableau), and storytelling
Proven ability to manage ambiguity and translate data insights into action-oriented outcomes
Qualifications:
Experience with AWS, credit products, or payment rule systems
Familiarity with credit risk modeling, fraud mitigation, or loss prevention strategies
Strong project management and cross-functional collaboration skills
Hourly Rate:
$50
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
Credit Strategy Data Scientist Remote
Contract
opportunity with our San Jose, CA client
We are seeking a talented and data-driven Credit Strategy Data Scientist to join our clients Credit Risk Strategy team. This role focuses on credit risk assessment, data analysis, and the development of predictive strategies to mitigate losses and optimize customer eligibility. Ideal candidates will bring strong analytical skills, a strategic mindset, and hands-on experience working with large datasets in the fintech or online payments space.
Responsibilities:
Design rules and strategies to detect and mitigate credit losses
Investigate high-impact or complex credit risk cases and identify root causes
Collaborate with product and engineering teams to improve control capabilities
Develop, refine, and present credit strategies for execution
Balance customer experience and business risk to maximize eligible customers while minimizing losses
Create dashboards and visualizations to track KPIs and strategy performance
Analyze data using internal platforms (e.g., RaaS) to identify loss patterns and propose optimizations
Communicate findings and strategic recommendations to technical and non-technical stakeholders
Qualifications:
Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or related field (or equivalent practical experience)
2+ years of experience in risk analytics, data science, or data analysis in fintech or online payments
Strong proficiency in SQL, Python, Excel, and core data science libraries
Experience working with large datasets and conducting complex data analyses
Ability to clearly communicate technical results through dashboards, visualizations (e.g., Tableau), and storytelling
Proven ability to manage ambiguity and translate data insights into action-oriented outcomes
Qualifications:
Experience with AWS, credit products, or payment rule systems
Familiarity with credit risk modeling, fraud mitigation, or loss prevention strategies
Strong project management and cross-functional collaboration skills
Hourly Rate:
$50
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.