Careers - Senior Data Scientist, AI & Model Risk

Block

Quick summary

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

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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’s SFS team, 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, tackling complex challenges by selecting appropriate methodologies and driving risk-based decisions independently. Responsibilities include leading end-to-end AI risk assessments, reviewing system design and documentation, assessing pre-deployment testing, evaluating ongoing monitoring plans, and developing governance templates and tools. The role requires proficiency in Python, a strong understanding of generative AI architectures, knowledge of interagency model risk management principles, and excellent communication skills to translate technical concepts for non-technical stakeholders. Experience with AI governance frameworks and regulatory compliance is highly desirable.

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 and tools to support the scalability of AI risk governance programs.

What we're looking for

  • Minimum 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 and hands-on evaluation experience.
  • Knowledge of interagency model risk management principles, including SR 26-2 guidelines.
  • Expertise in AI testing methodologies and data privacy/security principles.
  • Excellent communication skills to translate complex technical concepts for non-technical stakeholders.

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