Profile : Technical Lead — AML & Fraud Prevention Platform

Location : Delhi (Netaji Subhash Place) / Ghaziabad — On-site

Engagement : Full-time

Experience : 5-8 years

Role type : Technical Lead / Manager (Hybrid: Hands-on Engineering + AML Domain)

Reports to : Director / Head of Product

About the role

Mindrops is building a next-generation AML and fraud prevention platform powered by Graph Neural Networks — designed for European banks, fintechs, and payment institutions navigating AMLR and AMLD compliance.

We are looking for a Technical Lead — a hybrid leader who is hands-on with engineering and brings working knowledge of AML and financial crime. You will lead a small team of ML and backend engineers, drive architecture decisions, and own delivery of the detection engine, alert workflow, and SAR pipeline.

This is not a pure people-management role. You will still write code, review pull requests, and pair with engineers on the hardest parts of the system — while also setting direction, unblocking the team, and representing the work to clients and stakeholders.

What you will ownEngineering leadership

- Set technical direction and architecture for the platform — make the build-versus-buy calls, choose the stack, own the trade-offs
- Be hands-on — write the most critical pieces of code yourself, pair on the hard problems, keep your hands on the keyboard
- Drive engineering quality — CI/CD, test coverage, monitoring, incident response

Technical scope

- The GNN-based detection engine — GraphSAGE, GAT, or equivalent message-passing architectures with SHAP explainability
- Real-time transaction graph ingestion and feature engineering — Kafka, Neo4j or TigerGraph
- Scoring API, alert generation engine, audit trail, and SAR auto-drafting
- Model retraining loops,



false-positive feedback workflows, and drift monitoring

AML domain

- Map AML typologies — structuring, layering, smurfing, trade-based laundering, PEP proximity, fan-out dispersion — to detection logic
- Translate regulatory requirements (AMLR, AMLD, FATF) into engineering specifications
- Design the SAR drafting and 4-eyes approval workflow
- Represent the engineering team in client compliance reviews and regulator-facing conversations

What you must have

- 5-8 years total engineering experience , with at least 2 years in a tech lead or team lead capacity
- Strong hands-on ML background with practical experience deploying graph models in production — GraphSAGE, GAT, TGN, or equivalent. Tabular ML alone is not sufficient.
- Working knowledge of AML, transaction monitoring, or financial fraud detection — either through direct project work or robust self-driven study of the domain
- Strong command of Python, PyTorch / PyTorch Geometric or DGL , and modern cloud infra (AWS or GCP)
- Comfort with graph databases (Neo4j, TigerGraph), streaming systems (Kafka), and production-grade ML serving
- Demonstrated ability to lead a small team — code review discipline, mentoring junior engineers, breaking down ambiguous problems
- Strong written communication — you will write technical specs, architectural decisions, and client-facing notes

Nice to have





- Experience with SHAP or other model explainability techniques for regulated ML systems
- Prior work at a regtech vendor, bank, or fintech (NICE Actimize, Quantexa, SymphonyAI, ComplyAdvantage, or similar)
- CAMS, ICA, or equivalent AML certification
- Exposure to GDPR or data sovereignty design — consent management, personal data wallets
- Crypto AML or sanctions screening background
- Past work with European banks or fintechs

Why Mindrops

- Real ownership — lead a core platform from the ground up; your architecture decisions shape the product
- International exposure — collaborate directly with our Belgium and UK teams, and with banking clients across Europe
- Technical depth — Mindrops invests in serious R&D; you will build core IP, not configure someone else's product
- Direct access to founders — flat structure, fast decisions, room to shape the roadmap

To apply

Job Types : Full-time, Permanent

Ability to commute/relocate:

- Pitampura, Delhi, Delhi: Reliably commute or planning to relocate before starting work (preferred)

Application Question(s):

- How many years of work experience do you have with AML, transaction monitoring, or financial fraud detection ?
- How many years of Python, PyTorch / PyTorch Geometric or DGL experience do you have?
- How many years of Prior work experience at a regtech vendor, bank, or fintech (NICE Actimize, Quantexa, SymphonyAI, ComplyAdvantage, or similar)?
- How many years of work experience do you have with ML background with practical experience deploying graph models in production — GraphSAGE, GAT, TGN, or equivalent?

Education :

- Bachelor's (preferred)

Experience :

- AML & Fraud Prevention Platform: 5 years (preferred)

Language :

- English (preferred)

Wor

📌 Technical Lead Aml & Fraud Prevention Platform (Pitam Pura)
🏢 Mindrops
📍 Pitam Pura