Oscilar

FinTech

ProductManager-AML

€75–110k ~AI est. Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Product Manager - AML at Oscilar. Skills: Product Management, AI, AML, Financial Crimes. Own product for AML. Own transaction monitoring”

What You'll Achieve.

Reduce false positive rates; Reduce SAR narrative writing time; Reduce alert backlog; Surface at least one insight; Deliver one complete PRD; Have a clear POV on SAR automation; Develop 12-month AML roadmap; Ship at least one thing

Industry & Context.

FinTech
Problems you'll solve

Root cause analysis; Troubleshooting; Data-driven decision making

What They're Looking For.

Must Have

5+ years AML/compliance buyers, Product ownership of AML suite, AI-native PM, AI tools throughout workflow, Synthesize call transcripts, Cluster themes across interviews, Scan regulatory guidance, Surface competitive product gaps, Generate first-draft PRDs, Stress-test own specs, Write and iterate user stories, Prototype UI flows, Pressure-test edge cases, Explore multiple UX directions, Explainability problem in AI, BSA, FinCEN, OFAC, FATF, Build defensible audit trail, Use AI tools to move faster, Test sooner, Learn earlier

Nice to Have

Experience with graph-based network detection, Experience with consortium signals, Experience with model feature pipelines

What You'll Do.

Own transaction monitoring

Own AML data strategy

Generate first-draft PRDs

Write and iterate user stories

Pressure-test edge cases

Explore multiple UX directions

Solve explainability problem

Build defensible audit trail

Use AI tools to move faster

Run discovery with buyers

Produce written synthesis

Identify product gaps

Define SAR narrative automation

Pressure-test SAR automation

Develop 12-month AML roadmap

Ship production features

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Engineering stakeholders; Design team; Data engineers; Compliance officers

Communication Scope

Executive presentations

Process & Methodology

Roadmap planning

Full Job Description

Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place https://oscilar.com/careers. WHY JOIN US: - Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. - Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. - Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. THE ROLE: AML operations teams are making high-stakes decisions on bad tooling. False positive rates hitting 90–95%. SAR narratives written by hand. Alert queues backlogged for days. Investigation workflows duct-taped across a transaction monitoring system, a case management tool, and a spreadsheet no one owns. AI has gotten good enough to fix most of this - but compliance teams don't trust it yet, and most AI vendors don't understand AML well enough to earn that trust. You will own the product that earns it. At Oscilar, you'll have full product ownership of our AML and financial crimes suite: transaction monitoring, KYC/KYB, screening, case management, SAR filing, and the AI agents that are beginning to augment and automate the investigation workflow itself. This is not a handed-down playbook. You are writing it. WHAT YOU'LL OWN: - Transaction Monitoring. The rules engine and ML model layer that generates alerts - scenario design, threshold calibration, typology coverage, backtesting against historical transaction data. You'll define what the system flags, why, and how those decisions evolve as customer behavior and fraud typologies shift. You un

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