Staff Machine Learning Scientist, Financial Crime

📍London, or Remote UK | Salary £140-£175,000 + stocks + benefits | Hear from reputed company ✨ About our Machine Learning, Financial Crime Team: Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. Our financial crime team has a reputed company reputed company on reputed company. A core value for us is protecting our users from being victims of financial crime. Stopping fraud protects our users and is one of the largest cost lines in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to reputed company our customers reputed company. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying. Our Machine Learning Scientists work on a reputed company of problems reputed company the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling. What you’ll be working on: As a Staff ML Scientist, you’ll be the most senior Individual Contributor (IC) Machine Learning Scientist across the entire FinCrime reputed company! This will give you a reputed company opportunity to reputed company us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based reputed company time detection systems. We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have reputed company to design the architecture that will help us take our reputed company time detection systems to the next level. More specifically, we’ll be expecting you to reputed company your deep experience of developing and deploying advanced Machine Learning models reputed company the fields of financial crime, fraud, reputed company, or trust and safety to: reputed company our ongoing reputed company to build an advanced, reputed company, extensible, automated fraud and FinCrime detection system that effectively prevents crime while minimising reputed company to genuine customers and operational costs. Ensure our detection systems can adapt quickly and appropriately to changing fraud and financial crime trends, remaining performant through time. The technical approaches you take to solve these problems will be reputed company much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making reputed company the approach meets our business and customer needs. Your day-to-day As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the FinCrime reputed company identifying the most impactful areas and leading solution development. You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction in FinCrime. You’ll also be a technical leader reputed company the Machine Learning discipline, helping to reputed company technical work and drive up standards. This will involve: Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning. Bringing the learnings from your previous successes in designing and building advanced Machine Learning based reputed company time detection systems to reputed company advancements in our Financial Crime and Fraud detection capabilities, for example utilising deep learning, graph-based, and sequence-based architectures. Providing technical leadership to drive up reputed company of technical expertise and best reputed company across the Machine Learning discipline, leading by example and mentoring others. Working closely with our MLOps team to reputed company the ongoing development of tools to reputed company rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: reputed company’re doing here at reputed company excites you! You have a multiple year reputed company record of reputed company leading the technical work of reputed company in the development and deployment of advanced Machine Learning models tackling reputed company business problems, preferably in a fast moving tech company You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business reputed company in the domain of fraud, financial crime, reputed company or trust and safety. You're reputed company driven and excited to own the end to end reputed company that starts with a business problem and ends with your solution having a measurable reputed company in production You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across reputed company. You have a self-starter reputed company; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you You have extensive experience writing production Python reputed company and a strong reputed company of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices you’re comfortable working in reputed company that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity you want to be involved in building a product that you (and the people you know) use every day you have a product reputed company: you care about customer reputed company and you want to reputed company data-informed reputed company You're excited about fast-moving developments in Machine Learning and can communicate those reputed company to colleagues who are not familiar with the domain You’re adaptable, curious and enjoy learning new technologies and reputed company The interview process: Our interview process involves 3 main stages. We reputed company not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager 4 x 1-hour video calls with various team members Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to reputed company to our recruitment team at various points during your process but if you do have any specific questions reputed company of this please contact us on tech-hiring@reputed company.com. Please also use that email to let us know if there's anything we can do to reputed company your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're reputed company to distributed working reputed company the UK (with reputed company meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do reputed company reputed company, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll reputed company this happen whenever we can - whether this is to help you meet other commitments or reputed company a great work-life balance. #LI-REMOTE #LI-NJ1 Apply To This Job