Model Risk Data Scientist

Model Risk Data Scientist

SentiLink

SentiLink offers AI-powered identity and risk solutions that enable secure transactions for institutions and individuals. We aim to deliver faster, smarter, and more accurate verification than the status quo.

This is a remote, US‑based role.

Responsibilities

Build foundational processes for generating and surfacing model performance metrics, including crafting, calculating and building Python pipelines.

Act as the point of contact for Strategic Financial Partners and manage their model governance needs, conducting performance and exploratory analyses to assess model outcomes.

Provide guidance on appropriate use of our products, respond to inquiries about model development procedures and generate stability analyses.

Create automation to detect inconsistencies or issues with production models powering fraud‑detection products (e.g., data‑driven gap analysis, anomaly detection, or training challenger models).

Work primarily with a Python ecosystem, using SQL, SageMaker, S3, Metabase, and Git.

Requirements

Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, or a related field.

3 years of related technical experience or 5–7 years of relevant applied academic experience.

Proven experience in data analysis, modeling, and performance evaluation.

Strong proficiency in Python (Pandas, NumPy, matplotlib) and SQL.

Ability to interpret and communicate complex data insights to technical and business audiences.

Excellent problem‑solving and analytical skills with a focus on actionable results.

Interest in developing deep domain expertise in model risk analysis and governance.

Ability to thrive in a fast‑paced environment with high‑impact, open‑ended problems.

Preferred : experience assessing quality, stability, performance and behavior of production‑grade ML models, particularly from a governance, fair lending or economic risk perspective.

Preferred : familiarity with fraud detection.

Experience with GitHub.

Candidates must be legally authorized to work in the United States and must live in the United States.

Technologies

Python, Pandas, NumPy, matplotlib, BI tools, SQL

Salary

USD 140,000 – 180,000 per year + equity + benefits.

Perks

Employer‑paid group health insurance for you and your dependents.

401(k) plan with employer match (or equivalent for non‑US‑based roles).

Flexible paid time off.

Regular company‑wide in‑person events.

Home office stipend, and more.

Corporate Values

Follow Through

Deep Understanding

Whatever It Takes

Do Something Smart

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function and Industries

General Business, Management, and Business Development

Software Development

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