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Scienaptic AI

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About

Scienaptic AI is an AI-powered credit decisioning platform that helps lenders expand credit access through intelligent risk predictions and automated underwriting. It integrates diverse data sources, advanced machine learning algorithms, and comprehensive risk and fair lending monitoring processes. The platform boasts next-generation algorithms trained on 400 million+ records, offering 7x more risk differentiation than bureau-based scores. Scienaptic helps increase automation, approvals, and reduce defaults, while ensuring compliance with regulations. It's trusted by 150+ lenders and has helped approve 400,000+ members in the last 24 months.

Platform
Web
Keywords
aifinancial inclusionautomated underwritingcredit decisioningrisk prediction
Task
credit underwriting

Features

explainable ai

advanced machine learning algorithms

automated underwriting

comprehensive risk and fair lending monitoring

intelligent risk predictions

seamless integration with los

diverse data source integration

ai-powered credit decisioning

Job Opportunities

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Scienaptic AI

VP Strategic Accounts

AI-powered credit decisioning platform for lenders, offering improved risk assessment, higher approvals, and reduced defaults while ensuring compliance.

salesremoteUSAfull-time

Experience Requirements:

  • 7+ years of professional experience in Financial Services

Other Requirements:

  • Understanding of AI/ML technologies and their application in financial services

  • Credit Risk Management experience

  • Experience with product development/software development/roll-out lifecycle

  • Familiarity with US consumer lending regulations and regulatory expectations

  • Proven track record of meeting and exceeding upselling and cross-selling targets

  • Ability to thrive in a remote work environment

  • Available for up to 50% travel for client meetings and events

  • Strong communication and interpersonal skills

Responsibilities:

  • Build and maintain strong relationships with existing clients

  • Act as the primary point of contact for clients

  • Educate clients on the platform/strategy

  • Collaborate with internal teams to ensure seamless client go-lives

  • Identify opportunities for upselling and cross-selling based on a deep understanding of client needs and our product offerings. Work closely with the product and marketing teams to develop and enhance our cross-sell solutions. Set and deliver ambitious cross-sell targets

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Client Technical Operations Lead

AI-powered credit decisioning platform for lenders, offering improved risk assessment, higher approvals, and reduced defaults while ensuring compliance.

Education Requirements:

  • Bachelors / Masters in Engineering / Science / Data Analytics

Experience Requirements:

  • 7+ years of experience in technical product operations

Other Requirements:

  • Hands-on in Python coding

  • Strong problem solving and data analysis skills using Python and JSONs

  • Excellent communication and interpersonal skills

  • Experience of working with banks and credit unions is a positive

Responsibilities:

  • Own, execute and optimize client onboarding and technical support tasks

  • Solve client issues with hands-on investigation, client calls and through collaboration with product implementation and engineering teams

  • Manage Client investigation and escalation emails and calls

  • Adherence to committed SLAs, project deliverables and timelines

  • Have a deep understanding of production code to be able to deploy appropriate fixes solutions

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Data Scientist

AI-powered credit decisioning platform for lenders, offering improved risk assessment, higher approvals, and reduced defaults while ensuring compliance.

Experience Requirements:

  • At least 2 years’ experience in a Credit Risk analytical role

Other Requirements:

  • Expertise in credit risk management for revolving / non revolving products

  • Prior experience of working with at least one of the 3 major US credit bureaus

  • Strong analytical skills to understand the business process needs and translate them to system requirement specifications

  • Proficiency with one or more database querying tools (SQL, R, Python)

  • Proficiency with analytical tools and visualization software (e.g., Excel, Tableau, MongoDB)

  • Attention to detail and quality of the deliverables and a growth mindset

Responsibilities:

  • Design tools and monitor the credit performance on client’s portfolios and intervene as needed

  • Identify common risks and possible solutions across Scienaptic’s clients

  • Develop insights to inform strategy improvements and new product use cases

  • Become the resident SME for Scienaptic’s solution and optimal strategic use

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