Full-Time

Full Stack Engineer

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

$130k - $170kAnnually

Mid, Senior

Remote in USA

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

Category
Full-Stack Engineering
Software Engineering
Required Skills
Agile
Python
JavaScript
React.js
Postgres
Docker
AWS
Go
SCRUM
AngularJS

You match the following SentiLink's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 3+ years of software development experience building enterprise or consumer facing products
  • Experience with modern front-end JavaScript frameworks such as React or Angular
  • Experience with building API based products using python, golang or similar technologies
  • Experience with RDBMS (e.g. postgres) and ability to write efficient queries with optimal structures is a big plus
  • Experience with Docker and AWS technologies is a plus
  • Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)
  • Experience working in a scrum / Agile development environment
  • Familiarity working in Financial Services is a big plus
  • Candidates must be legally authorized to work in the United States and must live in the United States
Responsibilities
  • Code, test, debug, document, and ship and maintain software applications using established coding standards and methodologies
  • Designing and building out API’s that will be consumed by the UI to surface application data.
  • Partner with product management to drive agile delivery of both existing and new products based on project requirements, UX design, and industry best practices
  • Ensure new software meets quality standards by writing unit and end-to-end automated tests
  • Work with product, data, and other stakeholders to analyze usage and product metrics to inform key strategic decisions
  • Troubleshoot, debug, resolve product issues as they arise
  • Work cross functionally to resolve complex partner problems
  • Ensure platform and services meet SLA requirements; on call rotation for production issues, along with the rest of engineering
Desired Qualifications
  • Experience with Docker and AWS technologies is a plus
  • Familiarity working in Financial Services is a big plus

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. These models are continuously improved by a team of risk analysts who combine human expertise with various data sources to enhance fraud detection. SentiLink's products can be customized to meet the specific needs of different clients, ensuring they can adapt to various types of fraud without affecting the customer experience. Additionally, SentiLink offers real-time insights into identity verification, which helps clients minimize fraud losses while serving legitimate customers in areas like credit cards and lending. The goal of SentiLink is to empower financial institutions to confidently approve customers while effectively combating identity fraud.

Company Size

51-200

Company Stage

Series B

Total Funding

$81.7M

Headquarters

San Francisco, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for synthetic identity fraud detection boosts SentiLink's market potential.
  • Partnerships with Scienaptic AI and Persona enhance SentiLink's fraud detection capabilities.
  • API-based solutions allow SentiLink to offer seamless integration and customization.

What critics are saying

  • Sophisticated fraud techniques may outpace SentiLink's current detection capabilities.
  • Dependence on high-quality data could impact fraud detection effectiveness if data quality declines.
  • Intense competition in the fintech sector may threaten SentiLink's market position.

What makes SentiLink unique

  • SentiLink specializes in detecting synthetic identities using proprietary machine learning models.
  • The company offers customizable solutions that integrate seamlessly with clients' existing systems.
  • SentiLink's Facets tool provides feature-specific intelligence to enhance fraud detection accuracy.

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Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

3%

2 year growth

3%
ForexTV
Nov 4th, 2024
Consumer Portfolio Services Partners with SentiLink to Enhance Fraud Prevention

Consumer Portfolio Services partners with SentiLink to enhance Fraud prevention.

PYMNTS
Dec 18th, 2023
Scienaptic Ai And Sentilink Enhance Fraud Detection Tool Partnership

Scienaptic AI and SentiLink enhanced their product partnership to provide credit unions and lenders with artificial intelligence-powered fraud detection capabilities. The fraud detection tools will be powered by Scienaptic AI’s credit underwriting platform and SentiLink’s identity verification and fraud detection solutions, the companies said in a Monday (Dec. 18) press release. “The integration of our technologies offers a holistic underwriting approach that harnesses fraud data and AI,” Eric Steinhoff, executive vice president of client impact at Scienaptic AI, said in the release. “This fusion creates highly predictive signals, effectively reducing fraud risk, optimizing decision-making processes and ultimately leading to a rise in approvals for deserving members.”

PYMNTS
Sep 18th, 2023
SentiLink Launches New Intelligence Solution for Fraud Detection

SentiLink launches new intelligence solution for Fraud detection.

PYMNTS
Sep 18th, 2023
Sentilink Launches New Intelligence Solution For Fraud Detection

SentiLink has unveiled a new offering aimed at improving financial fraud detection and enhancing proprietary fraud models for financial institutions.The new tool, Facets, provides feature-specific intelligence derived from SentiLink’s proprietary identity data and its consortium of banks, credit unions and FinTechs, the provider of identity and risk solutions said in a Monday (Sept. 18) press release.It complements SentiLink’s existing scores targeting synthetic fraud and ID theft, according to the release.Financial fraud techniques are growing increasingly sophisticated, prompting financial institutions to turn to machine learning (ML)-powered automation to catch fraudsters more efficiently, the release said. However, the effectiveness of these models relies heavily on the quality of the data being used.With access to more high-quality data, financial institutions can more accurately identify cases of fraud, prevent losses, and approve genuine customers, per the release.“Many financial institutions today are fighting sophisticated fraudsters with inadequate tools,” SentiLink CEO and Co-founder Naftali Harris said in the release. “With Facets, we’ve unlocked a new level of intelligence that our partners can use to improve and sharpen their models, identify bad actors at account opening, and serve their own customers with the trust they increasingly demand.”Facets is a powerful enhancement to financial institutions’ fraud models, providing Boolean or numeric attributes that do not require additional feature engineering, according to the release. These attributes are delivered as key-value pairs via the application programming interface (API) response, making them easy to parse. Financial institutions can select the attributes that work best for detecting fraud within their customer population, leading to a significant improvement in accuracy.Early testing with SentiLink customers has shown that Facets significantly improves the ability to accurately detect fraud, the release said

Help Net Security
Sep 18th, 2023
SentiLink unveils Facets to improve financial fraud detection

SentiLink launched Facets, a new intelligent attributes solution that enables U.S. financial institutions to improve fraud models and implement more sophisticated onboarding flows.