Financial Crimes - Senior Data Scientist

Reposted 17 Days Ago
2 Locations
In-Office
126K-139K Annually
Mid level
Fintech
The Role
The Senior Data Scientist develops quantitative models for financial crime compliance, performs data analysis, and collaborates across teams to enhance model performance.
Summary Generated by Built In

Location:

4910 Tiedeman Road - Brooklyn, Ohio 44144

ABOUT THE JOB (JOB BRIEF)

Under manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.

ESSENTIAL JOB FUNCTIONS

  • Under manager’s oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC
  • Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
  • Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
  • Document model development process and outcomes properly and support model validation and review
  • Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
  • Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners

REQUIRED QUALIFICATIONS

  • Master’s or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree
  • Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
  • Hands-on work experience with statistical coding in SAS and/or Python
  • Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
  • Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
  • Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience

Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $126,000 to $139,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible.

Please click here for a list of benefits for which this position is eligible.

Job Posting Expiration Date: 10/19/2025 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].

Top Skills

Artificial Intelligence
Cloud-Based Computing
Machine Learning
Python
SAS
Statistical Coding
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The Company
Cleveland, OH
16,053 Employees
Year Founded: 1949

What We Do

At KeyBank we’ve made a promise to our clients that they will always have a champion in us. To deliver on our promise, we’re committed to building a team of engaged employees who do the right thing for our clients and shareholders, and help them achieve financial wellness each and every day.

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