Quantifind
Senior Technical Project Manager
Charlotte, NC or New York City, NY · Senior · Full-time
Sponsorship not specified$140k-$160kDetected 26 days ago
Data ScienceNLPProject ManagementAgileJiraConfluenceStakeholder ManagementHRCustomer SuccessLeadershipCommunicationCollaborationCritical Thinking
About the role
- Quantifind is seeking to fill a Senior Technical Project Manager supporting specialized software implementations for some of the world's largest organizations.
- You will be embedded within the Product organization and will work closely with the Customer Success, Data Science and Engineering Teams to ensure Quantifind meets its customer commitments within project and contractual timelines.
- On the customer side, you will interface with external business and technical stakeholders, reporting progress to decision-makers and senior leadership on a regular basis.
Requirements
- You have an analytical mindset and desire to guide innovative software product development that makes an impact.
- You are adept at translating business requirements into technical development initiatives and are able to provide matrixed leadership across diverse teams.
- 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.
- You are a planner by instinct who is both ambitious and practical, optimistic and risk aware.
- You have a track record of delivering outcomes in the face of complex problems.
- Above all else, you are innately curious and motivated to learn new things.
Nice to have
- You have 7+ years of experience in technical project management or product management
- You have excellent verbal and written communication skills
- Experience leading Projects End to End, collaborating with cross functional teams within the organization.
- Experience tracking risks/issues, stakeholder communication and management, project financials etc.
- You hold a BS or MS in computer science, mathematics, or engineering or have equivalent technical professional experience
- You are conversant in the agile software development process and relevant tools such as Atlassian Jira® and Confluence
- You have a working knowledge of software development practices and deployment models for enterprise software
- You have experience with application programming interface (API) protocols, common data transfer mechanisms, and relational database systems
Compensation
- The base salary range for this full-time position is $140,000 to $160,000.
- Competitive salary
Benefits
- Company Equity
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- 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.
Company info
- 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 through an AI-driven software-as-a-service (SaaS) solution 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. Demand for this solution is fueling our rapid growth.
- 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.
- 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.
- 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 through an AI-driven software-as-a-service (SaaS) solution 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.
- Demand for this solution is fueling our rapid growth.
- 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.
Equal opportunity
- We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.
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This listing is sourced directly from Quantifind's careers page and normalized into a canonical job model.