Summary

This role will operate in the Compliance Data Science & Analytics team - chartered to put data at the center of the organization’s decisions - and play a pivotal role in driving the strategy of the team through data-driven insights and solutions. This role is crucial for supporting the evolving demands from banking partners and regulators, as well as enhancing the effectiveness of existing compliance programs.

You Will

1. Lead and manage data-driven projects from inception to completion. Define project scope, objectives, timelines, and deliverables, ensuring alignment with business goals. Collaborate with stakeholders to track progress, address challenges, and ensure successful project outcomes
2. Design and analyze experiments to assess the impact of compliance programs, leveraging A/B testing and causal inference methods to drive actionable insights
3. Conduct in-depth analyses of customer segments and products to identify compliance risks and evaluate the effectiveness of product controls
4. Communicate complex statistical concepts and results to both technical and non-technical audiences and influence teams to take action based on your recommendations
5. Provide guidance and mentorship to other team members on best practices

We're Targeting

1. A Level 6 hire - typical experience for L6 would be something like BSc +7-10 years; MSc + 5-8 years; or a PhD + 3-5 years 
2. A background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field
3. Proven results developing, managing, and executing complex, cross-functional projects
4. Expert-level abilities in SQL and data analysis/visualization tools (e.g. Tableau, Looker, etc)
5. Advanced skills in R or Python for statistical analysis and programming
6. Deep knowledge of sampling methodologies and experience in building experimentation tools and applying statistical methodologies in real-world scenarios
7. Success working in fast-paced, evolving environments and solving complex, ambiguous problems with data
8. Domain expertise in risk management, financial services, or compliance

Technologies We Use and Teach

1. SQL 
2. Python
3. Looker/Tableau

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Zone A:

$198,000—$297,000 USD

Zone B:

$188,100—$282,100 USD

Zone C:

$178,200—$267,400 USD

Zone D:

$168,300—$252,500 USD

Skills

• Database Management
• Development
• Leadership
• Python
• SQL
• Team Collaboration