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Palo Alto, California, United States
Hybrid
Who You Are
You are a highly analytical professional that operates at the interface of Product Management and Data Science.. You understand that a model’s value depends only on how well it solves a real customer problem. You can translate a use case into a clear prediction target, define what constitutes a true positive, and reason through the tradeoffs between missed risk and unnecessary alerts. You are comfortable discussing precision, recall, and ROC analysis with data scientists, and explaining what those metrics mean to customers.
You are drawn to the intersection of product strategy and applied machine learning. You know how to turn customer needs into model requirements, evaluate whether an improvement matters in practice, and prioritize new capabilities alongside improvements to existing models. You are rigorous and analytical, but you move with urgency and make practical decisions with imperfect information.
You are collaborative by nature and have achieved success as a team player. You thrive by setting ambitious goals and tracking progress until they are met. You feel strongly about being mission-driven in your work, and above all else you are innately curious and motivated to learn new things.
Who We Are
Quantifind is the Risk Intelligence company. We help some of the world’s biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results in a software-as-a-service (SaaS) model with consumer-grade user experiences.
Quantifind’s Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. In financial crimes risk management, Quantifind’s solution combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
Our customers need to understand the intelligence they rely on: what our models assess, how their performance is measured, and where their limitations lie. The Core Models product area connects the development of our models to those customer needs and the workflows they support.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance.
What A Great Candidate Looks Like:
The Opportunity We Offer
As Technical Product Manager for Core Models, you will own the product direction for the models that power Graphyte’s risk intelligence. This role is co-sponsored by our Data Science organization. You will work closely with Product, Data Science, and Engineering to determine which model capabilities to build, where to improve existing models, and how to measure success.
In this role, you will:
Our team of highly innovative data scientists and engineers will challenge you to validate assumptions, identify new opportunities, and become an expert on our product and customers. You will have direct client exposure, with the expectation that great product insights come from user feedback. Principally, you will become part of a motivated and curious product team on a journey to create the world’s premier risk intelligence platform.
Location
Quantifind’s development team is centered in Palo Alto, California, and we have hubs in Atlanta, Georgia, New York, NY, Boston, MA and in Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. This role is In-Person at our Palo Alto, CA office.
A Highlight of Our Benefits
The base salary range for this full-time position is $145,000 - 185,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
We are an equal opportunity employer. We pride ourselves on living our values. We are curious. We respect each other. We are proactively transparent. We relentlessly solve problems. We win together.
Will you join us? Apply now!
