Job Description

Cash Security is a security-enabling engineering organization focused on scaling security as a discipline through innovation. As a security team, Security Governance develops, implements and promotes frameworks and standards aimed at securing our customer’s data, giving privacy and security considerations a voice across the organization, and simplifying Cash’s security-related regulatory and compliance obligations.

Governance Partners act as a bridge between the Cash App functional area they support and Leadership across security, engineering, and compliance teams to drive security enablement. The Security Governance Partner for Cash App Machine Learning and Data Science (ML/DS) works directly with the teams that build Cash App’s machine learning pipelines and infrastructure and the Cash data scientists to identify and communicate constraints and to evaluate potential solutions, while partnering closely with MLDS Security Engineering to communicate requirements and shape the security posture of the MLDS organization.

You will:

• Act as a security domain expert in partnership with Compliance, Legal, and Engineering
• Collaborate deeply across roles and functions, with Security Engineering, Machine Learning Engineering and Modeling, and Data Science/Business Intelligence
• Identify, prioritize and balance security efforts with other objectives
• Help Cash automate governance and compliance functions and develop reusable tools for common tasks using scripting languages like Python or data tools like Prefect
• Participate in technical design discussions, evaluate security properties of systems and services, drive risk decisions, and influence technical architecture
• Understand challenges and roadblocks to achieving the desired security posture, and push requirements to Security Engineering to drive long-term change
• Develop, implement and promote security standards and frameworks
• Interpret and communicate security and compliance constraints to key stakeholders
• Monitor applicable changes to security and privacy related laws, regulations, and industry standards, with an eye towards Generative AI and other forward-looking technologies

Qualifications

You have:

• 3+ years of experience leading projects or programs in a security environment
• 5+ years working in a security-focused role in a technology-heavy industry
• Proficiency with at least one programming language (e.g. Python, Kotlin, Java)
• Conceptual understanding of machine learning and data science tools and processes
• Solid technical background with cloud computing architectures and security patterns
• Ability to drive alignment and change in a matrixed-environment with minimal supervision
• Boundless curiosity, persistence and a grounded approach to getting things done
• Process orientation and an efficiency mindset to keep the organization unblocked and accountable to security
• Working knowledge of one or more relevant compliance regulations such as SEC/FINRA, CCPA, CPRA, GDPR, PCI DSS, SOX

Tech stack we use and teach:

• Java and Kotlin 
• Python
• AWS, GCP, and Kubernetes
• SQL, Snowflake
• Apache Spark
• DynamoDB, Kafka, Apache Beam and Google DataFlow
• Tableau, Airflow, Looker, Mode, Prefect
• Tecton
• Jupyter notebooks