Product Manager - Ingestion

September 4

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ComplyAdvantage

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The leader in AI-driven fraud and anti-money laundering (AML) risk detection

AML KYC Solutions • Transaction Monitoring • PEPs and Sanctions Screening • Adverse Media

201 - 500

Description

• We're on the hunt for a dynamic and skilled Senior Product Manager to champion our mission of dismantling financial crime with our SaaS-based anti-money laundering innovations. • Take ownership of the processes and interfaces that ensure our risk information is matched to customers swiftly and efficiently. • Define and champion the vision and strategic roadmap for our search & monitor capabilities. • Collaborate with leaders of customer-facing products, as well as with commercial teams and key customers, to develop and execute a roadmap that enhances data access, drives adoption and revenue growth, and meets emerging use cases. • Work side-by-side with Data Scientists and other Product Managers to support the launch of new product features by developing robust data access methods that unlock valuable insights for our customers. • Work closely with your engineering and data science colleagues to articulate and implement a cohesive technical and product strategy that revolutionises how we provide access to our data. • Spearhead initiatives to integrate machine learning and AI technologies to refine and enhance the user experience and efficiency. • Facilitate cross-functional team collaborations to ensure alignment on product development goals and timely delivery of solutions. • Monitor industry trends and technological advancements to keep our product offerings innovative and competitive. • Lead the evaluation and integration of new data sources to continuously expand and update our risk information database. • Advocate for the user experience, ensuring that our interfaces are intuitive and empower customers to leverage our data effectively.

Requirements

• Exceptional analytical abilities paired with outstanding communication skills in English, capable of effectively articulating complex concepts and engaging with diverse and senior audiences • Strong stakeholder management skills, adept at navigating complex relationships and aligning various interests to achieve business objectives • Highly motivated individual who takes pride in their work and plays an active role in fostering a collaborative and informal work environment • Demonstrated experience with large data sets, with a deep understanding of data pipelines, and a solid grasp of how data science leverages machine learning to transform raw data into actionable insights for end-users • Proven track record in designing, implementing, and maintaining enterprise-scale systems that prioritise scalability, reliability, and a high-quality user experience • Familiarity with the latest technologies and methodologies in data analysis, machine learning algorithms, and predictive modelling • Ability to conduct rigorous data analysis and optimise data fidelity across multiple platforms and interfaces • Skilled at synthesising feedback from various sources to improve data tools and processes continuously

Benefits

• Equity participation in our innovative mission to combat financial crime • Unlimited Time Off Policy to promote work-life balance and well-being • We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships • Opportunities for collaboration and career development with smart, like-minded professionals • Annual learning budget to support professional growth • A home office budget to support working from home • Enhanced parental leave and childcare benefits • Life insurance and medical coverage through BUPA, including pre-existing conditions • Pension contribution through The People's Pension