Energy Jobline ZR
Credit Strategy Data Scientist - 575 San Jose, CA in San Jose
Energy Jobline ZR, San Jose, California, United States, 95199
Credit Strategy Data Scientist – San Jose, CA
We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation and for developing predictive algorithms for credit risk.
Key Job Functions
Design rules to detect and mitigate loss.
Investigate novel or large loss cases.
Identify root causes and set strategy for different risk types.
Collaborate with product and engineering to improve control capabilities.
Develop and present strategies and guide execution.
Drive results that maximize eligible customers while controlling losses.
Qualifications
Minimum 2 years of experience in risk analytics, data analysis, or data science within Fintech or online payments.
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field (or equivalent practical experience).
Experience using statistics and data science to solve complex business problems.
Proficiency in SQL, Python, Excel and key data science libraries.
Experience working with large datasets.
Ability to clearly communicate complex results to technical experts, business partners, and executives, including developing dashboards and visualizations (e.g., Tableau).
Comfortable with ambiguity and able to steer analytics projects toward clear business goals, testable hypotheses, and action‑oriented outcomes.
Demonstrated analytical thinking and ability to work with a team to make a big impact.
Desirable: experience solving risk problems with data science and analytics.
Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.
Expected Outcomes (6‑12 months)
Develop dashboards and visualizations to track KPI of credit strategies implemented.
Consult, design, develop, and manage credit trends and losses to solve emerging loss trends and provide a great experience to end customers.
Utilize data analysis to design and implement credit strategies.
Analyze and transform data using RaaS platforms to identify loss patterns and optimize flagging systems.
Collaborate with cross‑functional stakeholders including product managers and engineering teams to deploy data‑driven credit solutions that operate at scale in real time.
Make business recommendations to leadership and other teams with effective presentations of findings at multiple levels of stakeholders.
Key Skills
Data analytics
Rule development
Dashboard creation
Project management
Strong communication
Hiring Process
Multiple steps: at‑home screening, one technical interview with a senior team member, and one interview panel with the hiring manager and team member.
Team size: 5 members; the role will work closely with a senior member at outset and will focus largely on reporting.
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.
#J-18808-Ljbffr
Key Job Functions
Design rules to detect and mitigate loss.
Investigate novel or large loss cases.
Identify root causes and set strategy for different risk types.
Collaborate with product and engineering to improve control capabilities.
Develop and present strategies and guide execution.
Drive results that maximize eligible customers while controlling losses.
Qualifications
Minimum 2 years of experience in risk analytics, data analysis, or data science within Fintech or online payments.
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field (or equivalent practical experience).
Experience using statistics and data science to solve complex business problems.
Proficiency in SQL, Python, Excel and key data science libraries.
Experience working with large datasets.
Ability to clearly communicate complex results to technical experts, business partners, and executives, including developing dashboards and visualizations (e.g., Tableau).
Comfortable with ambiguity and able to steer analytics projects toward clear business goals, testable hypotheses, and action‑oriented outcomes.
Demonstrated analytical thinking and ability to work with a team to make a big impact.
Desirable: experience solving risk problems with data science and analytics.
Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.
Expected Outcomes (6‑12 months)
Develop dashboards and visualizations to track KPI of credit strategies implemented.
Consult, design, develop, and manage credit trends and losses to solve emerging loss trends and provide a great experience to end customers.
Utilize data analysis to design and implement credit strategies.
Analyze and transform data using RaaS platforms to identify loss patterns and optimize flagging systems.
Collaborate with cross‑functional stakeholders including product managers and engineering teams to deploy data‑driven credit solutions that operate at scale in real time.
Make business recommendations to leadership and other teams with effective presentations of findings at multiple levels of stakeholders.
Key Skills
Data analytics
Rule development
Dashboard creation
Project management
Strong communication
Hiring Process
Multiple steps: at‑home screening, one technical interview with a senior team member, and one interview panel with the hiring manager and team member.
Team size: 5 members; the role will work closely with a senior member at outset and will focus largely on reporting.
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.
#J-18808-Ljbffr