\n📍London | 💰 £150,000- £200,000 + Benefits | Data Science \n\nAbout us \n\nWe’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.\n\nWe want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.\n\nWe're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.\n\nAbout our Data Discipline\n\nWe have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.\n\nWe work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.\nYour Mission \n\nYou will be responsible for partnering with senior stakeholders in Fincrime to develop evidence-driven solutions to important Financial Crime problems. You will apply your leadership experience and data expertise to solve complex business challenges, help drive decision-making (at squad and leadership level) and develop data products (where appropriate) that will improve our ability to fight financial crime and keep customers safe. You will lead a team of data professionals of currently 25 people. You will also be part of the wider data leadership group and help shape the role that data plays across the company.\n\nYour day-to-day \n\n\n* Establish yourself as a trusted member of the financial crime and product senior leadership teams with the capacity for getting things done and to enable better decision making\n\n* Bring data leadership and rigour to our financial crime function and build a strategic understanding of the business while structuring complex projects to bring them to life\n\n* Set the data strategy for financial crime area which will help us to build one of the most effective fincrime prevention and detection capabilities in the financial industry\n\n* Own complex, data driven systems to combat fraud and financial crime, including customer risk assessments and transaction monitoring\n\n* Help your team to focus and to prioritise for highest impact initiatives for the business\n\n* Effectively manage stakeholder relationships and expectations across various functions like engineering, product, operations and first and second lines of defence\n\n* Develop and further scale a high performing team of data professionals across a wide range of data capabilities\n\n* Coach managers and individual contributors, helping them to grow professionally and personally\n\n\n\n\nYou should apply if:\n\nWhat we’re doing here at Monzo excites you!\n\n\n* You have multiple years of experience in a hands on data role in the past and have now been leading data science teams in operations, financial crime or fraud\n\n* You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job\n\n* You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities\n\n* You have experience working together and collaborating with senior business stakeholders\n\n* You have experience leading a full stack data team, including Analysts, Data Scientists, Analytics Engineers and Machine Learning Engineers\n\n* You have experience managing data managers\n\n\n\n\nThe Interview Process\n\nOur interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!\n\n\n* 30 minute recruiter call \n\n* 45 minute call with the hiring manager\n\n* 3 x 1-hour video calls with various team members, including the general manager for Financial Crime\n\n* A meet and greet with a Monzo Executive Committee member\n\n\n\n\nOur average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [email protected]\n\nWhat’s in it for you:\n\n💰 £165,000- £200,000 ➕ plus stock options & benefits \n\n✈️ We can help you relocate to the UK (delete if doesn’t apply) \n\n✅ We can sponsor visas (delete if doesn’t apply).\n\n⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.\n\n📚 Learning budget of £1,000 a year for books, training courses and conferences\n\n➕ And much more, see our full list of benefits here\n\nEqual Opportunity Statement\n\nWe are actively creating an equitable environment for every Monzonaut to thrive.\n\nDiversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog,  2021 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.\n\nWe’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.\n\n#LI-NJ #LI-REMOTE \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Video, Finance, Senior and Non Tech jobs that are similar:\n\n $27,500 — $55,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLondon, England, United Kingdom

\nWe are looking for a Product Manager (Fraud) to join our team to work across our product and data teams to accelerate our go-to-market strategies.you will be charged with designing, building and maintaining a suite of inclusive identity products and features covering fraud & risk.  This position will closely interact with Data Engineering, Data Science, Growth, Sales, and Compliance to support our product roadmap in a fast paced and highly fluid environment.\n\nWhat You’ll Do:\n\n\nGuide product definition, strategy, and long-term vision for one or more of Fraud & Risk solutions\n\n Collaborate a cross-functional team of data science, engineering, design, growth, and marketing to improve and enhance existing and develop new features.\n\nRun user research, usability studies, data-driven experiments to inform product direction\n\nIdentify and implement solutions for customer challenges, needs, expectations, and desires\n\nWork with engineers to clearly document and test the specs as our tech teams execute.\n\nImprove the flexibility and robustness of our infrastructure which delivers fraud models & reasons. \n\nInterpret quantitative results and translate them into qualitative presentations\n\nConduct peer reviews and develop rapport with internal stakeholders \n\n\n\n\nWhat You’ll Bring:\n\n\n3+ years of progressive Product Management or equivalent experience (Product Ownership or Scrum Master experience)\n\nBachelor’s Degree or equivalent experience\n\nAbility to grasp deep technical concepts, including predictive analytics and statistical models. \n\nPenchant for clear, concise, and impactful communication to either technical or business audiences\n\nExceptional analytical, problem solving, partnership management, organizational, and communication skills.\n\nProactive learner following global product, data and technology trends\n\nActive participation and demonstration of critical thinking on product and data strategy\n\nMulti-directional application of data to both test hypotheses and disconfirm beliefs\n\nActive participation and demonstration of critical thinking in code reviews\n\nAbility to responsibly scale a product organization and spread product knowledge across the organization\n\nAbility to work in fast-paced and across varied geographic timezones\n\n\n\nPreferred:\n\n\nBachelor’s of Science in Engineering, CS, Information Systems\n\nPast experience as a Product Analyst, Product Owner, Product Management, and/or working with Agile Methodologies\n\nExperience in Entity Resolution, Identity Proofing, Authentication and/or Fraud\n\nExperience with open banking and privacy first data exchange standards\n\n\n\n\nWe are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Architect, SaaS, InfoSec, Cloud, Engineer, Software, Python, Senior, Stats, HR, Finance, Web, Teaching, Video, Education, Accounting, PHP, Angular, API, Backend, React, Typescript, Mobile, Golang and Marketing jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nChennai, Tamil Nadu, India