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New York, New York, United States
Hybrid
Not Available
You have prior data analytics experience and desire the opportunity to guide product development through data-driven insights. You have ambitions to learn and grow alongside Quantifind’s exceptional software engineers and data scientists in a fast-paced development environment. You understand the concepts of storytelling with data to support our customers with recommendations backed by quantitative rationale. You have a high attention to detail and are looking for an opportunity that will challenge your technical skills and stretch your critical thinking abilities as you solve complex problems. You are customer-centric and have a passion for providing strategic solutions that improve product experience. You are comfortable engaging directly with customers to understand their pain points, collecting their feedback, and translating it into actionable insights that inform product decisions. Your ability to explain complex technical concepts to non-technical stakeholders, including customers, ensures that they feel heard, understood, and supported. You thrive in an environment where you can influence product direction based on customer needs, helping to shape the future of the product. Above all else, you are innately curious and motivated to learn new things, continuously seeking to improve both your technical and customer-facing skills.
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 uniquely 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. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
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.
In this role, you will become a key member of a close-knit team with the responsibility to provide findings and recommendations to product managers and designers. You will collaborate with data science and engineering teams by working with cutting-edge yet practical AI technology in production, transforming the status quo through ad hoc analytics and model performance validation. Additionally, you will be asked to serve in a customer-facing capacity to ensure optimal product usage, actively engaging with clients to understand their needs and challenges. This will include joining regular customer check-ins, offering data-backed insights to improve product usage, and guiding them on best practices to maximize the value of the product. You will have the opportunity to shape customer integrations and create product documentation that helps users optimize their experience.
This role will give you direct contact with the executive leaders of Product, Design, Customer Success, and Engineering as you help us innovate new solutions. A successful candidate will play an integral role in keeping our customers satisfied and our engineers focused on the highest-value activities. You will be instrumental in gathering customer feedback and translating it into actionable insights that will directly influence product development. The Product Analyst is the data-driven storyteller that we rely on to tell us, “How are customers using our product and how can we make it better?”
This role is intended to allow a successful candidate to grow into the Technical Product Manager position, offering a unique blend of technical analysis and customer-facing opportunities. You will be seen as the bridge between our customers and the Product team, helping to ensure that the customer voice is heard in every stage of the product lifecycle. By driving customer success initiatives alongside your analytical responsibilities, you will help deliver value at every touchpoint, fostering long-term relationships and ensuring that the product evolves to meet the needs of its users.
Quantifind operates an informal hybrid schedule around hubs in Palo Alto, California, Washington D.C., New York City, New York, and Boston, Massachusetts with the balance of engineers in the Palo Alto area. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touch points and shared office space. Our preference is New York City, NY, but open to other East Coast based cities such as Boston, MA, Washington D.C., and Charlotte, NC.
A highlight of our benefits:
Your exact offer will depend on your experience, skills, and location.
The base salary range for this full-time position is $95,000-125,000. 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.
We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.
Will you join us? Apply now!
