Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.
The Role
Were looking for a Decision Scientist to develop implement and own automatic risk decisions designed to mitigate Blocks regulatory risk within the Transaction Monitoring and Disputes this role youll apply data-driven techniques to identify opportunities design risk policies and directly impact how Block manages risk across our major brands.
You will be responsible for building analytical frameworks evaluating heuristic and ML-driven decisions and defining scalable defensible risk policies. Your work will directly impact Block customers and escalate to our Risk operations teams for further review. Youll partner closely with Compliance Risk Machine Learning Operations Engineering Legal and Product stakeholders to balance regulatory requirements loss mitigation and customer experience.
*Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home
You Will
- Design and implement automation strategies in our in-house rule engines that support regulatory compliance objectives particularly within transaction monitoring and sanctions domains
- Translate complex regulatory requirements and analytical insights into clear actionable recommendations for cross-functional stakeholders
- Develop detection policies and decisioning frameworks that are legally defensible and operationally sound
- Proactively identify new opportunities to improve risk automation and compliance outcomes through statistical modeling experimentation and data analysis
- Collaborate with Machine Learning teams on model evaluation governance and operationalization of model outputs for decision-making
- Ensure high-quality documentation monitoring and validation of risk actions that impact customers and operational teams
You Have
- Advanced degree in a quantitative field (Data Science Mathematics Statistics Economics CS etc.)
- 5 years experience in applied analytics within risk compliance fraud lending or similar decisioning domains
- Experience designing implementing and monitoring high-impact decisioning or policy frameworks
- Strong SQL skills and experience navigating complex data environments combined with proficiency in Python for data analysis (NumPy Pandas Sklearn) and familiarity with statistical modeling A/B experimentation and other analytical techniques for driving data-informed decisions.
- Proficiency in defining implementing communicating and monitoring performance metrics with diverse stakeholders including Product Machine Learning Operations Legal and external partners
- Understanding of regulatory compliance concerns and the ability to design solutions that balance business needs with legal requirements
- Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data
- Comfort writing and documenting clean organized and testable code and contributing to software applications that implement data science and analytical artifacts in pipelines or front-ends.
- Nice to have: Experience with financial crimes compliance systems technologies and processes. CAMS or CFCS certifications
Were working to build a more inclusive economy where our customers have equal access to opportunity and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.
We believe in being fair and are committed to an inclusive interview experience including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter who will treat these requests as confidentially as possible. Want to learn more about what were doing to build a workplace that is fair and square Check out our ID page.
While there is no specific deadline to apply for this role U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
Required Experience:
Senior IC
Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. The...
Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.
The Role
Were looking for a Decision Scientist to develop implement and own automatic risk decisions designed to mitigate Blocks regulatory risk within the Transaction Monitoring and Disputes this role youll apply data-driven techniques to identify opportunities design risk policies and directly impact how Block manages risk across our major brands.
You will be responsible for building analytical frameworks evaluating heuristic and ML-driven decisions and defining scalable defensible risk policies. Your work will directly impact Block customers and escalate to our Risk operations teams for further review. Youll partner closely with Compliance Risk Machine Learning Operations Engineering Legal and Product stakeholders to balance regulatory requirements loss mitigation and customer experience.
*Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home
You Will
- Design and implement automation strategies in our in-house rule engines that support regulatory compliance objectives particularly within transaction monitoring and sanctions domains
- Translate complex regulatory requirements and analytical insights into clear actionable recommendations for cross-functional stakeholders
- Develop detection policies and decisioning frameworks that are legally defensible and operationally sound
- Proactively identify new opportunities to improve risk automation and compliance outcomes through statistical modeling experimentation and data analysis
- Collaborate with Machine Learning teams on model evaluation governance and operationalization of model outputs for decision-making
- Ensure high-quality documentation monitoring and validation of risk actions that impact customers and operational teams
You Have
- Advanced degree in a quantitative field (Data Science Mathematics Statistics Economics CS etc.)
- 5 years experience in applied analytics within risk compliance fraud lending or similar decisioning domains
- Experience designing implementing and monitoring high-impact decisioning or policy frameworks
- Strong SQL skills and experience navigating complex data environments combined with proficiency in Python for data analysis (NumPy Pandas Sklearn) and familiarity with statistical modeling A/B experimentation and other analytical techniques for driving data-informed decisions.
- Proficiency in defining implementing communicating and monitoring performance metrics with diverse stakeholders including Product Machine Learning Operations Legal and external partners
- Understanding of regulatory compliance concerns and the ability to design solutions that balance business needs with legal requirements
- Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data
- Comfort writing and documenting clean organized and testable code and contributing to software applications that implement data science and analytical artifacts in pipelines or front-ends.
- Nice to have: Experience with financial crimes compliance systems technologies and processes. CAMS or CFCS certifications
Were working to build a more inclusive economy where our customers have equal access to opportunity and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.
We believe in being fair and are committed to an inclusive interview experience including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter who will treat these requests as confidentially as possible. Want to learn more about what were doing to build a workplace that is fair and square Check out our ID page.
While there is no specific deadline to apply for this role U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
Required Experience:
Senior IC
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