Transparent Machine Learning Solutions for Credit and Risk Decisions
Why
Stratyfy
No one knows your business as well as you do. Stratyfy’s solutions are built around a proprietary modeling technology developed by our team over the past 15 years. This technology allows companies to create models that seamlessly combine the information from their data with the expertise of their people.
Unlike other solutions, Stratyfy’s tools help you build, test, deploy and optimize precise underwriting and fraud models; provide detailed, interpretable diagnostics of all predictions; self-check models to ensure they meet even the strictest regulatory standards; detect any inherent bias enabling customers to take immediate action.
Stratyfy is selected into & completed the prestigious Plug and Play Insurtech Batch 6 Accelerator program. This highly selective program brings the best startups together with innovative corporate partners, investors, and mentors.
“It was a highly educational experience (and a sincere pleasure) working with the Stratyfy team. Their platform is intuitive and powerful, reflecting Stratyfy’s depth of knowledge on utilizing AI in a way that is explainable and controllable.”
Samir Suri
Head of Product
Selected as an “Innovative Technology Company”. FinTech innovator awarded membership into valuable data partner ecosystem. Stratyfy will present at FinTech Sandbox Demo Day 6.0.
Case Study
See how Stratyfy partnered with Aflac to help identify more fraudsters sooner, while reducing false positives. Using Stratyfy’s Fraud Detection Solution, Aflac was able to drive 260% improvement in fraud flagging and identifying new fraudulent agents; detect fraud 28 weeks earlier on average than existing methods; drive 66% reduction in effort and resources needed to identify the same fraud, driven by a reduction in false positives.
News & Press
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November 12, 2021 How Lending Technology Could Predict Your Case of the Flu this Year -
October 15, 2021 Stratyfy Announces Partnership With GradFin to Drive More Transparency in Student Lending -
October 5, 2021 Stratyfy Closes Funding Round, Accelerating Mission to Bring Greater Visibility to Complex Financial Decisions and Reduce Bias
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May 25, 2021 Stratyfy Joins Groundbreaking ML Research focused on improving the transparency and fairness of machine learning in the credit industry
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April 16, 2020 Stratyfy is one of the 100 world’s most promising start-ups to watch in 2019 -
September 21, 2020 FIS Banking Product Officer Spencer Jones on the podcast along with Laura Kornhauser, CEO and founder of Stratyfy! -
December 8, 2020 Advantages of Models Based on Probabilistic Rules for Small Data Sets -
June 30, 2020 Stratyfy Earns Spot in FIS Fintech Accelerator Incoming Cohort. -
February 21, 2020 Stratyfy Inc. selected as one of the 100 most promising start-ups to watch in 2019 by CNBC -
July 23, 2020 Investors say Stratyfy is part of the next generation of breakout B2B stars! -
November 10, 2020
Barry J. Glick Joins Stratyfy’s Advisory Board: Technology legend brings unparalleled leadership and experience -
October 30, 2020
Stratyfy appoints Deniz Johnson as COO: Veteran fintech executive cements foundation for future growth -
May 18, 2020 Stratyfy is among the EFL’s Deep Tech Startup Graduates for 2019-2020. -
May 21, 2019 Understand what the AI by opening the black-box -
June 6, 2020 Stratyfy’s partnership with Innovesta featured in leading Israeli Business publication, The Globes. -
March 6, 2020 Stratyfy and Innovesta Technologies announce a strategic partnership to revolutionize risk prediction -
December 18, 2019 MassChallenge FinTech Announces 2020 Cohort of Top Start-Ups -
April 15, 2019 Stratyfy is taking part in the insurtech accelerator batch Summer Summit 2019. -
May 2, 2019 AI and the Algorithmic Accountability Act: 3 things you can do right now to avoid costly mistakes
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November 14, 2019 Thoughts on Bias in Algorithmic Decision Making in Light of AppleCard and Goldman Story
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June 11, 2019 Bias in predictive models — part 1/2
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October 17, 2019 Transparency in Decision-Making: Advantages of a Rule-Based Approach — Part 2/2
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May 1, 2019 Transparency matters when dealing with data (Part 1)
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August 31, 2019 Transparency in Decision-Making: Advantages of a Rule-Based Approach — Part 1/2
Stratyfy Careers
Our proven track helping businesses utilize cutting edge modeling technology to make more informed and fair decisions means we’re growing — very quickly! We are looking for talented and motivated team players to help drive our innovative solutions and define the next stage of our company’s growth. If working in a fast paced environment to develop products that can help transform peoples’ lives sounds exciting to you, we would love to meet you!
- Senior Backend ML EngineerRemote
Senior Backend ML Engineer
Let’s make financial services more transparent — together. Stratyfy is on a mission to bring greater transparency and less bias to critical financial decisions that impact millions of people.
We are looking for talented and motivated critical thinkers to help drive our innovative solutions and define the next stage of our company’s growth. At Stratyfy, you’ll have agency over your work and the opportunity to shape our company every day. If working on a small, fast paced team to develop products that can help transform peoples’ lives sounds exciting to you, we’d love to meet you!
As a Senior Backend ML Engineer joining our Product Engineering team, you will be a part of a highly collaborative team with attention to detail and dedication to quality.
What You’ll Do at Stratyfy
- Collaborate with your teammates to design applications, build features and APIs, develop test automation, and implement monitoring and observability.
- Take a key role in the design and implementation of modern cloud-based solutions.
Experience You Bring To This Role
- 5+ years strong meaningful individual contributor experience as a software engineer: designing, building, and debugging distributed systems
- Understanding and working knowledge of Statistical and Machine Learning Models
- Understanding and experience in implementing Machine learning steps, engineering flows and production deployments.
- Knowledge of Machine Learning Libraries and tools (Scikit, H2O, TensorFlow, Jupyter Notebooks, ML Flow, Databricks etc.)
- Exposure to data engineering, connection to external data sources.
- Exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
- Experience working with at least one cloud infrastructure (AWS, Azure or GCP)
- High level of proficiency in Python
- Experience with Relational and NoSQL database systems (MySQL, mongoDB, etc)
- Proven technical leadership abilities
- Proven mentorship and ownership abilities
- Experience in an Agile environment
- Senior Backend Cloud EngineerRemote
Senior Backend Cloud Engineer
Let’s make financial services more transparent — together. Stratyfy is on a mission to bring greater transparency and less bias to critical financial decisions that impact millions of people.
We are looking for talented and motivated critical thinkers to help drive our innovative solutions and define the next stage of our company’s growth. At Stratyfy, you’ll have agency over your work and the opportunity to shape our company every day. If working on a small, fast paced team to develop products that can help transform peoples’ lives sounds exciting to you, we’d love to meet you!
As a Senior Backend Cloud Engineer joining our Product Engineering team, you will be a part of a highly collaborative team with attention to detail and dedication to quality.What You’ll Do at Stratyfy
- Take a key role in the design and implementation of modern cloud-based solutions.
- Collaborate with your teammates to design applications, build features and APIs, develop test automation, and implement monitoring and observability.
- Be up-to-date with modern developments in web application programming.
Experience You Bring To This Role
- 5+ years strong meaningful individual contributor experience as a software engineer : designing, building, and debugging distributed systems
- Experience building cloud-based solutions on at least one of AWS, GCP, or Azure – Strong understanding of the Linux based deployments – Expertise on the full stack of cloud computing (Compute, Storage, Databases, Messaging, Networking, Security) – Cloud native architecture and design. – Experience on using Infrastructure as Code – DevOps – Containerization
- High level of proficiency in Python
- Understanding of microservices and related implementations.
- Experience with distributed relational and NoSQL database systems (MySQL, mongoDB, etc)
- Exposure to data engineering, connection to external data sources
- Understanding of scaling, performance, security aspects of modern applications
- Proven technical leadership abilities
- Proven mentorship and ownership abilities
- Experience in an Agile environment
- Exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
- Data Science EngineerHaifa, New York – Remote
Data Science Engineer
We are looking for a highly motivated Data Science Engineer to enrich our product with new features, help maintain our existing stack, and work closely with the team to set the future direction of our architecture. As a technology leader, you are expected to set a strong tone of team collaboration, attention to detail, ability to prioritize, and dedication to quality.
What You’ll Do at Stratyfy
- Design and build new features, simplify existing services, and scale our systems while our codebase is rapidly growing and evolving.
- Partner with members of our Engineering and Product Development teams to set the direction of our platform and ensure a two-way exchange of best practices.
- Convert research ideas and prototypes into enterprise-level code.
- Write unit, integration, and end-to-end tests, design and implement code quality verification and monitoring tools to improve the stability and performance of our systems.
- Manage the ambiguity of a small, rapidly-growing company: adjusting to changing priorities, making conscious tradeoffs when guidance is limited and information is incomplete, and instituting best practices from scratch when needed.
Experience You Bring To This Role
- M.Sc.+ in a quantitative discipline
- 3+ years of professional experience in Fintech: designing, building, and debugging large-scale distributed systems in production environments
- Background in statistical modeling
- Experience with SQL and NoSQL databases
- High levels of proficiency in Python
- Experience working with various CI workflows
- Excellent communication skills in English, both orally and written
- Optional: Experience with Containers and Container Orchestration
- Backend ML EngineerRemote
Backend ML Engineer
Let’s make financial services more transparent — together. Stratyfy is on a mission to bring greater transparency and less bias to critical financial decisions that impact millions of people.
We are looking for talented and motivated critical thinkers to help drive our innovative solutions and define the next stage of our company’s growth. At Stratyfy, you’ll have agency over your work and the opportunity to shape our company every day. If working on a small, fast paced team to develop products that can help transform peoples’ lives sounds exciting to you, we’d love to meet you!
As a Backend ML Engineer joining our Product Engineering team, you will be a part of a highly collaborative team with attention to detail and dedication to quality.
What You’ll Do at Stratyfy
- Collaborate with your teammates to design applications, build features and APIs, develop test automation, and implement monitoring and observability.
- Take a key role in the design and implementation of modern cloud-based solutions.
Experience You Bring To This Role
- 3+ years strong meaningful individual contributor experience as a software engineer: designing, building, and debugging distributed systems
- Understanding and working knowledge of Statistical and Machine Learning Models
- Understanding and experience in implementing Machine learning steps, engineering flows and production deployments.
- Knowledge of Machine Learning Libraries and tools (Scikit, H2O, TensorFlow, Jupyter Notebooks, ML Flow, Databricks etc.)
- Exposure to data engineering, connection to external data sources.
- Exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
- Experience working with at least one cloud infrastructure (AWS, Azure or GCP)
- High level of proficiency in Python
- Experience with Relational and NoSQL database systems (MySQL, mongoDB, etc)
- Proven technical leadership abilities
- Experience in an Agile environment
- Backend Cloud EngineerRemote
Backend Cloud Engineer
Let’s make financial services more transparent — together. Stratyfy is on a mission to bring greater transparency and less bias to critical financial decisions that impact millions of people.
We are looking for talented and motivated critical thinkers to help drive our innovative solutions and define the next stage of our company’s growth. At Stratyfy, you’ll have agency over your work and the opportunity to shape our company every day. If working on a small, fast paced team to develop products that can help transform peoples’ lives sounds exciting to you, we’d love to meet you!
As a Backend Cloud Engineer joining our Product Engineering team, you will be a part of a highly collaborative team with attention to detail and dedication to quality.
What You’ll Do at Stratyfy
- Take a key role in the design and implementation of modern cloud-based solutions.
- Collaborate with your teammates to design applications, build features and APIs, develop test automation, and implement monitoring and observability.
- Be up-to-date with modern developments in web application programming.
Experience You Bring To This Role
- 3+ years strong meaningful individual contributor experience as a software engineer : designing, building, and debugging distributed systems
- Experience building cloud-based solutions on at least one of AWS, GCP, or Azure – Strong understanding of the Linux based deployments – Expertise on the full stack of cloud computing (Compute, Storage, Databases, Messaging, Networking, Security) ○ Cloud native architecture and design. – Experience on using Infrastructure as Code – DevOps – Containerization
- High level of proficiency in Python
- Understanding of microservices and related implementations.
- Experience with distributed relational and NoSQL database systems (MySQL, mongoDB, etc)
- Exposure to data engineering, connection to external data sources
- Understanding of scaling, performance, security aspects of modern applications
- Proven technical leadership abilities
- Experience in an Agile environment
- Exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).