Quant Analytics Lead Assoc - Fraud - Careers at KeyBank
KeyBank
Quant Analytics Lead Assoc - Fraud - Careers at KeyBank
Job Description
About KeyBank
KeyBank is a leading national bank committed to helping communities thrive. With a focus on innovation and customer-centric solutions, KeyBank offers comprehensive banking services across the United States. Our fraud analytics team plays a critical role in protecting customers and maintaining trust through cutting-edge quantitative analysis and machine learning models.
Position Summary
The Quant Analytics Lead Associate - Fraud position in Brooklyn, Ohio, is perfect for quantitative professionals passionate about leveraging advanced statistics, machine learning, and data science to combat fraud. Under moderate supervision, you'll develop predictive models that answer critical business questions like 'What will happen next?' and 'What should we do?' This role offers autonomy in data analysis, model building, and collaboration with business partners to deliver impactful fraud prevention solutions.
Key Responsibilities
- Conduct advanced quantitative analysis, hypothesis testing, and root-cause analysis on large datasets with increasing autonomy
- Develop and validate machine learning models tailored to fraud detection business needs
- Create efficient data structures, transformations, and ETL processes for analytical use
- Apply critical thinking to select optimal analytical approaches for complex problem statements
- Monitor model performance, test for deterioration, and drive continuous improvements
Required Qualifications
- Bachelor’s degree in statistics, mathematics, economics, financial engineering, data science, or related field (Master’s/PhD preferred)
- 2+ years relevant experience (1+ with advanced degree)
- Expertise in SQL/NoSQL, Python/R/SAS, and advanced Microsoft Office
- Strong understanding of model risk management, machine learning fundamentals, and statistical techniques
- Proven data literacy including hypothesis testing and data controls
Why Join Us
Join KeyBank's dynamic fraud analytics team and advance your career in quantitative finance. Enjoy self-directed projects, peer collaboration, and opportunities to influence banking strategy. We offer competitive pay, professional growth, and a supportive environment where your analytical expertise drives real business impact. Apply now for this mid-level role in Brooklyn, OH, and help protect customers through innovative fraud analytics at KeyBank.
Locations
- Brooklyn, Ohio, United States
Salary
95,000 - 130,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL/NoSQLintermediate
- Python/R/SASintermediate
- Machine Learningintermediate
- Statistical Analysisintermediate
- Data Modelingintermediate
- Hypothesis Testingintermediate
- Cloud Computingintermediate
- Distributed Computingintermediate
- Model Risk Managementintermediate
Required Qualifications
- Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, or related quantitative discipline (experience)
- At least 2 years of relevant experience (1 year with Master’s or PhD) (experience)
- Advanced proficiency in Microsoft Office Suite (experience)
- Strong data literacy including data structures and transformations (experience)
- Experience with model building, testing, and maintenance (experience)
Responsibilities
- Conduct quantitative analysis including hypothesis testing and root-cause analysis on large datasets
- Develop, maintain, and implement predictive and machine learning models for fraud detection
- Create data structures and transformations to support business analysis needs
- Use statistical analysis and critical thinking to address business problems
- Anticipate business needs and continuously improve models and processes
Benefits
- general: Competitive compensation package
- general: Comprehensive health and wellness benefits
- general: Professional development opportunities
- general: Collaborative team environment
- general: Career growth within leading financial institution
Tags & Categories
Answer 10 quick questions to check your fit for Quant Analytics Lead Assoc - Fraud - Careers at KeyBank @ KeyBank.
Related Books and Jobs
Quant Analytics Lead Assoc - Fraud - Careers at KeyBank
KeyBank
Quant Analytics Lead Assoc - Fraud - Careers at KeyBank
Job Description
About KeyBank
KeyBank is a leading national bank committed to helping communities thrive. With a focus on innovation and customer-centric solutions, KeyBank offers comprehensive banking services across the United States. Our fraud analytics team plays a critical role in protecting customers and maintaining trust through cutting-edge quantitative analysis and machine learning models.
Position Summary
The Quant Analytics Lead Associate - Fraud position in Brooklyn, Ohio, is perfect for quantitative professionals passionate about leveraging advanced statistics, machine learning, and data science to combat fraud. Under moderate supervision, you'll develop predictive models that answer critical business questions like 'What will happen next?' and 'What should we do?' This role offers autonomy in data analysis, model building, and collaboration with business partners to deliver impactful fraud prevention solutions.
Key Responsibilities
- Conduct advanced quantitative analysis, hypothesis testing, and root-cause analysis on large datasets with increasing autonomy
- Develop and validate machine learning models tailored to fraud detection business needs
- Create efficient data structures, transformations, and ETL processes for analytical use
- Apply critical thinking to select optimal analytical approaches for complex problem statements
- Monitor model performance, test for deterioration, and drive continuous improvements
Required Qualifications
- Bachelor’s degree in statistics, mathematics, economics, financial engineering, data science, or related field (Master’s/PhD preferred)
- 2+ years relevant experience (1+ with advanced degree)
- Expertise in SQL/NoSQL, Python/R/SAS, and advanced Microsoft Office
- Strong understanding of model risk management, machine learning fundamentals, and statistical techniques
- Proven data literacy including hypothesis testing and data controls
Why Join Us
Join KeyBank's dynamic fraud analytics team and advance your career in quantitative finance. Enjoy self-directed projects, peer collaboration, and opportunities to influence banking strategy. We offer competitive pay, professional growth, and a supportive environment where your analytical expertise drives real business impact. Apply now for this mid-level role in Brooklyn, OH, and help protect customers through innovative fraud analytics at KeyBank.
Locations
- Brooklyn, Ohio, United States
Salary
95,000 - 130,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL/NoSQLintermediate
- Python/R/SASintermediate
- Machine Learningintermediate
- Statistical Analysisintermediate
- Data Modelingintermediate
- Hypothesis Testingintermediate
- Cloud Computingintermediate
- Distributed Computingintermediate
- Model Risk Managementintermediate
Required Qualifications
- Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, or related quantitative discipline (experience)
- At least 2 years of relevant experience (1 year with Master’s or PhD) (experience)
- Advanced proficiency in Microsoft Office Suite (experience)
- Strong data literacy including data structures and transformations (experience)
- Experience with model building, testing, and maintenance (experience)
Responsibilities
- Conduct quantitative analysis including hypothesis testing and root-cause analysis on large datasets
- Develop, maintain, and implement predictive and machine learning models for fraud detection
- Create data structures and transformations to support business analysis needs
- Use statistical analysis and critical thinking to address business problems
- Anticipate business needs and continuously improve models and processes
Benefits
- general: Competitive compensation package
- general: Comprehensive health and wellness benefits
- general: Professional development opportunities
- general: Collaborative team environment
- general: Career growth within leading financial institution
Tags & Categories
Answer 10 quick questions to check your fit for Quant Analytics Lead Assoc - Fraud - Careers at KeyBank @ KeyBank.
Related Books and Jobs