Credit Strategy Data Scientist 575 San Jose, CA

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Credit Strategy Data Scientist - 575 San Jose CA

Credit Strategy Data Scientist San Jose CA

50 per hour

If you post this job on a job board please do not use company name or salary. Experience level: Mid-senior Experience required: 3 Years Education level: Bachelors degree Job function: Finance Industry: Financial Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No

JOB DESCRIPTION:

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. This position requires a person who has experience performing analytics refining risk strategies and developing predictive algorithms preferably in the credit risk domain.

Key Job Functions

Design rules to detect/mitigate loss
Investigate novel/large cases
Identify root cause
Set strategy for different risk types
Work with product/engineering to improvement control capabilities
Develop and present strategies and guide execution
Drive results that maximize eligible customers while controlling losses
Professional Experience/Background to be successful in this role:

Minimum 2 years of experience in risk analytics data analysis or data science within the Fintech or online payments industry.
Bachelors 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 including key data science libraries.
Experience working with large datasets.
Ability to clearly communicate complex results to technical experts business partners and executives including development of dashboards and visualizations ie Tableau.
Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals testable hypotheses and action-oriented outcomes.
Demonstrated analytical thinking through data-driven decisions as well as the technical know-how and ability to work with your team to make a big impact.
Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
Bonus: Experience with AWS payment rule systems and knowledge of credit products.
Expected Outcome in 6-12 months:

Development of dashboard and visualizations to track KPI of credit strategies implemented
Work closely with team members and stakeholders to consult design develop and manage credit trends and losses that not only solve emerging loss trends but also 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 the systems to flag these patterns
Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers.
Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
Preferred Skills:

Data analytics
Rule development
Dashboard Creation
Project Management
Strong Communication
Notes from Hiring Manager:

Interview process: Multiple (At home screening 1 technical interview with senior team member 1 interview panel with hiring manager and team member).
Team size: 5 team members position will work closely with a senior team member at outset role will largely focus on reporting so experience with visualization and data storytelling is a plus.
MUST HAVE:

Bachelors degree in computer science Engineering Mathematics Statistics Data Mining or related field or equivalent practical experience.
Minimum 2 years of experience in risk analytics data analysis or data science within the Fintech or online payments industry.
Experience using statistics and data science to solve complex business problems.
Proficiency in SQL Python Excel including key data science libraries.
Experience working with large datasets.
Ability to clearly communicate complex results to technical experts business partners and executives including development of dashboards and visualizations i.e. Tableau.
Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
Experience with AWS payment rule systems and knowledge of credit products.

Credit Strategy Data Scientist - 575 San Jose CA Credit Strategy Data Scientist San Jose CA50 per hourIf you post this job on a job board please do not use company name or salary. Experience level: Mid-senior Experience required: 3 Years Education level: Bachelors degree Job function: Finance Indus...

Credit Strategy Data Scientist - 575 San Jose CA