Data Scientist Lead
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Job Location:
Strongsville, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Tittle: Data Scientist Lead (71470)
Location: Strongsville OH or Pittsburgh PA
Work Mode : 5 Days Onsite
Duration: Contract to Hire
Years Of Exp Required: 12 Years
Function of the Group: Mitigating Risk
Location: Strongsville OH or Pittsburgh PA
Work Mode : 5 Days Onsite
Duration: Contract to Hire
Years Of Exp Required: 12 Years
Function of the Group: Mitigating Risk
Project : Perform ongoing analysis of fraud trends and emerging schemes through daily monitoring trend
reviews and deep dives to proactively identify risk patterns. - Design and implement fraud monitoring for
new products and capabilities ensuring timely coverage risk assessments and alignment with enterprise
fraud frameworks. - Optimize and streamline existing fraud monitoring processes by improving alert
logic reducing noise and enhancing efficiency through automation and standardization. - Partner with
cross-functional domains to develop and enhance advanced pattern detection solutions and
countermeasures.
Industry background: Banking / Finance - Data Scientist
Roles and Responsibilities:
Leverages business / product expertise to rigorously analyze large datasets improve risk adjusted
returns deliver profitable growth and communicate conclusions.
Synthesizes analytical results and develops recommends and implements business strategies that
improve lending decisions assist in managing risk increase revenues reduce exposure to losses
meet business goals and improve performance.
Establishes baselines for strategies and tracks actual performance to expectations.
Applies predictive models third party data and other tools to develop and execute appropriate
segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio
risk.
Manages engagements with internal and external information suppliers ensuring solution is fit for
purpose while maintaining appropriate governance and oversight.
Works with business credit data and model development partners to design develop and
monitor test designs and analytical reporting to track and enhance strategies.
Designs / enhances standard reporting suites for regular product / portfolio reviews.
Collaborates with the line of business Finance and Risk partners to assess and establish credit
risk appetite and to understand its implications as well as to establish policies and procedures
governing the identification monitoring and management of risk appetite.
Must Have Technical Skills:
Math statistics and quantitative analysis background
Proficiency with SQL Python or R
Strong Analytic Mindset and Data Skills
Tableau Power BI
Effective Communication Skills
Model Development
Prior banking experience and/or prior anti-fraud experience especially with digital transaction
products (ACH Wire Transfer ETC)
Screening Questions
1 Tell me about a project where you used data to answer a business or fraud-related question. What
analysis did you do and how was the output used
