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Lead Machine Learning Scientist, FinCrime

1 month ago
United Kingdom
Part-time
Lead
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Agile Deep Learning Go Machine Learning Microservices MLOps Neural Networks Python SQL
Apply Now
Monzo

Monzo

Monzo is a digital retail bank and fintech company that provides smart banking solutions through its smartphone app. With over 8 million users, Monzo offers intelligent notifications, instant balance updates, and financial management tools to help user...

Banks
1K-5K
Founded 2015
$1100M raised
View All Jobs 29

Description

  • Provide technical leadership as an individual contributor within the Machine Learning discipline.
  • Work with stakeholders across the organization to identify and scope high-impact financial crime and fraud opportunities.
  • Lead the design and development of advanced real-time machine learning models.
  • Explore and apply neural network, graph-based, and sequence-based architectures to improve detection of financial crime.
  • Build ML solutions that detect suspicious behavior while minimizing impact on genuine customers and operational costs.
  • Adapt detection systems to changing fraud and financial crime trends to keep them performant over time.
  • Collaborate closely with product managers, data scientists, backend engineers, and designers in an agile squad.
  • Mentor others and help raise technical standards and best practices across the team.
  • Work with the MLOps team to improve tooling for rapid model iteration and the full ML lifecycle.
  • Justify technical approaches and demonstrate measurable business and customer impact.

Requirements

  • Multiple years of experience leading the development and deployment of advanced machine learning models to solve real business problems.
  • Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production.
  • Strong production Python experience and a strong command of SQL.
  • Comfortable working with ambiguity and helping teams and stakeholders resolve it.
  • Impact-driven with experience owning work end to end from business problem to measurable production outcome.
  • Self-starter mindset with the ability to proactively identify and solve issues and opportunities.
  • Product mindset focused on customer outcomes and data-informed decisions.
  • Ability to communicate machine learning concepts clearly to colleagues who are not domain experts.
  • Adaptable, curious, and eager to learn new technologies and ideas.
  • Preferred experience working in financial crime or regulated institutions.
  • Preferred commercial experience writing critical production code and working with microservices.
  • Willingness to learn Go, which is used in many backend microservices.

Benefits

  • Salary of £115,000 to £150,000.
  • Incentive awards tied to performance.
  • Help relocating to the UK.
  • Visa sponsorship available.
  • Flexible working hours.
  • Distributed working within the UK with ad hoc meetings in London.
  • Learning budget of £1,000 per year for training courses and conferences.
  • Option to work part-time where possible.

Interested in this position?

Apply directly on the company website

Apply Now

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