Careers - Senior Data Scientist, AI & Model Risk

Block

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$163,600–$225,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $194k
$104k most similar roles pay here $238k

This role pays more than 64% of similar roles. Most pay $135,000–$213,532 — the shaded band above. At the midpoint, this role pays about $194k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 53 open roles on FindRole.

Listed pay typically runs $180,000–$270,000 across 52 roles with salary data.

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View all roles at Block

At a glance

TL;DR · Careers - Senior Data Scientist, AI & Model Risk

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As a Senior Data Scientist focusing on AI & Model Risk at Block, you will lead and coordinate AI risk assessments for generative AI and Large Language Model use cases, applying Model Risk Management principles to ensure safe deployment. You will work closely with Information Security, Compliance, and Legal stakeholders to review AI system design, documentation, and pre-deployment testing across various banking applications like fraud detection and AML compliance. Additionally, you will develop templates and tools for the AI Risk Governance Program, monitor regulatory changes, and support SFS's response to inquiries. The role requires proficiency in Python, a deep understanding of generative AI architectures, and strong communication skills to translate technical concepts to non-technical stakeholders. Ideal candidates have experience in risk management or model risk management and are familiar with AI governance frameworks like NIST AI RMF and FFIEC IT Examination Handbooks.

Skills

Python LLMs Transformer models RAG systems AI testing methodologies Data privacy principles Encryption Access controls SHAP LIME NIST AI RMF ISO 42001 FFIEC IT Examination Handbook Model Risk Management CI/CD Regulatory compliance AI governance frameworks Explainability tools

What you'll do

  • Lead end-to-end AI risk assessments for generative AI and LLM use cases.
  • Review AI system design and documentation to ensure governance controls match risk profiles.
  • Assess pre-deployment testing adequacy including output integrity and bias detection.
  • Evaluate ongoing monitoring plans for comprehensiveness in accuracy and reliability metrics.
  • Develop templates, tools, and procedures to support the scalability of AI risk governance.

What we're looking for

  • At least 5 years of experience in risk management or AI risk management with a quantitative degree.
  • Proficiency in Python for evaluating AI systems and writing test scripts.
  • Strong understanding of generative AI architectures including LLMs and transformer models.
  • Knowledge of interagency model risk management principles, such as SR 26-2.
  • Ability to assess pre-deployment testing adequacy and design independent tests when needed.
  • Excellent communication skills for translating complex technical concepts to non-technical stakeholders.

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