Full-Time

Model Risk Analyst

Confirmed live in the last 24 hours

SentiLink

SentiLink

51-200 employees

Machine learning solutions for identity fraud detection

Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$110k - $140kAnnually

+ Equity + Benefits

Mid

Remote in USA

Category
Risk Management
Finance & Banking
Required Skills
Python
R
Requirements
  • A minimum of Bachelor’s degree in a quantitative discipline, such as Economics, Math, Computer Science, Data Science, etc.
  • A minimum of 3 years of experience working in quantitative analytics, model development, model validation or model risk management,
  • Familiarity with models in financial markets, e.g. models used for credit risk, fraud, market risk, including AI/ML models, as well as Python or R,
  • Ability to build strong relationships and influence stakeholders in both technical and non-technical space,
  • Ability to explain complex concepts for various audiences, and have superior written and oral communication skills,
  • Familiarity with industry regulations and regulatory frameworks related to model risk management, such as SR 11-7,
  • Ability to work and thrive in a fast-paced environment, with strong project management and delivery track record.
  • Candidates must be legally authorized to work in the United States and must live in the United States
Responsibilities
  • Assist with regular model risk tracking and reporting, including the remediation and closure of issues that are identified ad-hoc, both by the SentiLink and by our partners
  • Function as the main SentiLink representative in partner (customer) facing model risk assessment and fair lending processes
  • Promote, apply and help evolve and optimize the company-wide Model Risk Management framework and processes
  • Work closely with model owners and model developers to identify and manage risks introduced by the use of models
  • Prepare model validation reports detailing findings, recommendations, and conclusions for senior management and SentiLink partners (customers)
  • Stay up-to-date with the latest developments in model risk management approaches, industry standards, and regulatory guidelines

SentiLink provides solutions to help financial institutions prevent identity fraud. Their main product uses machine learning models to detect fraudulent activities during the application process. By combining human expertise with licensed and proprietary data, SentiLink's team of risk analysts refines these models to offer detailed insights into potential fraud cases, helping clients make informed decisions. Unlike many competitors, SentiLink's products are customizable and can adapt to various types of fraud, ensuring a smooth customer experience. The goal of SentiLink is to enable financial institutions to minimize fraud losses while delivering quality services to legitimate customers.

Company Stage

Series B

Total Funding

$81.7M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

6%

1 year growth

30%

2 year growth

51%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Scienaptic AI enhances fraud detection and increases approval rates.
  • Collaboration with Persona automates fraud reduction, easing client integration.
  • Launch of Facets tool improves accuracy in detecting financial fraud.

What critics are saying

  • Sophisticated fraud techniques may outpace SentiLink's current detection capabilities.
  • Reliance on high-quality data could impact effectiveness if data quality is compromised.
  • Competitive landscape intensifies with advancements from competitors like Persona and Scienaptic AI.

What makes SentiLink unique

  • SentiLink specializes in detecting synthetic identities using proprietary machine learning models.
  • The company offers customizable solutions that adapt to various types of fraud.
  • SentiLink's Facets tool enhances fraud models with feature-specific intelligence.

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