Address: San Jose, CA 94088
Telephone: 901-207-8038
Email Address: smithassociates1725@gmail.com
Hours: Office Hours – 3:30 PM – 8:00 PM CST
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.
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Position Title: Credit Strategy Data Scientist
ATTENTION: ” $TOP PAY “(Interviewing Now)
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Location : San Jose, CA
Salary : Competitive
Experience level: Mid-senior
Experience required: 3 Years
Education level: Bachelor’s degree
Job function: Finance
Industry: Financial Services
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 for success in this role:
– Minimum 2 years of experience in risk analytics, data analysis, or
data science within the Fintech or online payments industry.
– 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 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 in 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.
– Remote job
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:
1. Bachelor’s degree in computer science, Engineering, Mathematics,
Statistics, Data Mining or related field or equivalent practical experience.
2. Minimum 2 years of experience in risk analytics, data analysis, or
data science within the Fintech or online payments industry.
3. Experience using statistics and data science to solve complex
business problems.
4. Proficiency in SQL, Python, Excel including key data science libraries.
5. Experience working with large datasets.
6. Ability to clearly communicate complex results to technical experts,
business partners, and executives including development of dashboards
and visualizations, i.e. Tableau.
7. Desirable to have experience or aptitude solving problems related to
risk using data science and analytics.
8. Experience with AWS, payment rule systems, and knowledge of credit
products.
For consideration you must act now, send resume to
smithassociates1725@gmail.com. Sincerely,
Gerald Smith
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