At a Glance
- Tasks: Lead the architecture and production of neural models for financial crime risk.
- Company: Join a forward-thinking company making global money transfers safer.
- Benefits: Competitive salary, flexible working options, and opportunities for mentorship.
- Other info: Exciting greenfield role with ownership from research to production.
- Why this job: Make a real impact in FinCrime with cutting-edge machine learning technology.
- Qualifications: Experience in applied ML and strong collaboration skills required.
Wise moves billions across borders and is seeking a Staff Applied ML Engineer to lead the architecture, production of neural models, and scalable blueprint for financial crime risk across FinCrime domains. You’ll define the ML strategy, work with cross‑functional teams, and mentor peers in a high‑impact setting. This greenfield role offers ownership from research to production, with senior leadership buy‑in and a focus on real‑time risk decisions at scale in a FinCrime context.
Staff Applied ML Engineer: Real-Time FinCrime AI Leader employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
