Senior Software Engineer - FinCrime

This team is on the front lines, building the essential tools, services, and workflows that ensure our products are used as intended. We work to help people in need while actively identifying and preventing misuse. To do this, we combine our own custom software and data analytics with powerful, industry-leading third-party products for AI and transaction monitoring.

What you will own:

• Build and maintain software to automate and improve Zepz's Financial Crime workflows, tooling, and systems for both brands.

• Look after and improve our existing Anti-Money Laundering, and customer screening solutions.

• Collaborate with other teams to help ensure that the products and features they are building aren’t enabling criminals.

What you bring to the table:

• You have strong experience building backend services/APIs in Python. A large part of the codebase you will be working on is currently in Python. 

• The code you write:

  •  Follows industry best practices.

  •  Is well tested.

  •  Is maintainable.

  •  Is scalable.

  •  Is well documented.

• You have a good understanding of observability and metrics: Dashboards and alerting are your bread and butter and you understand the value in monitoring the systems you build not only in terms of infrastructure and operational excellence, but also for business metrics.

• You are able to work well with both product and engineering teams, and excel at managing stakeholders, and their expectations.

• You are pragmatic, and understand that perfect is the enemy of done, but also that there are some things that cannot be compromised on.

• You are skilled at balancing new requests with current priorities, knowing when to decline a task and when to embrace it by clearly communicating the impact on the existing plan.

• You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world.

Bonus points if you :

• Have exposure to Java and Spring or are willing to learn on the job.

• Have strong familiarity with SQL

• Experience with the following tools and frameworks:

  •  Apache Airflow and or  data pipelines.

  • Celery

  • FastAPI and/or Flask

  • Postgres (AWS Aurora Ideally)

  • DynamoDB

• Have experience working in the FinTech industry, particularly in a Financial Crime role (Fraud, AML, KYC, Sanctions Screening).