Monzo Bank on cord

Monzo Bank

Lead Machine Learning Scientist

External position
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FinTech · Banking
We're here to make money work for everyone
Posted
a month ago
Checked
cord regularly checks that external positions are still open
10 hours ago

Skills & Experience

Job roles: Machine Learning Engineer
Experience level: Lead
Core skills considered: Machine Learning, Deep Learning, Python, SQL, Cloud Computing
Other skills considered: Data Modeling, Data Pipelines, Agile, Technical Direction, Product Management

Logistics

Base salary: ÂŁ115K - ÂŁ150K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you'll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe.

Our financial crime team has a large impact on Monzo's bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it's our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying.

Our Machine Learning Scientists work on a range of problems within 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.

A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we'll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to:


Responsibilities

  • Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs
  • Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time.

The technical approaches you take to help solve these problems will be very 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 sure the approach meets our business and customer needs.

Your day-to-day:

As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You'll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:


Responsibilities

  • Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
  • Leading the design and development of advanced real time Machine Learning models, for example exploring how neural network, graph-based, and sequence-based architectures can drive improvements in detection of financial crime.
  • Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
  • Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

Requirements

  • You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real 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 impact
  • You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
  • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
  • Reducing financial crime and protecting customers with data driven strategies sounds exciting to you
  • You have extensive experience writing production Python code and a strong command 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 a team 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 mindset: you care about customer outcomes and you want to make data-informed decisions
  • You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
  • You're adaptable, curious and enjoy learning new technologies and ideas

Nice to haves

  • Experience working with financial crime and in regulated institutions
  • Commercial experience writing critical production code and working with microservices

Company Benefits

Compensation
  • Your manager reviews your salary every year
  • Proactive pay increases to reflect growing responsibilities
  • Share options: the option to buy shares in Monzo at a later date
📆 Flexible working hours
  • We trust you to work enough hours to do your job well, at times that suit you and your team
  • If you’re in customer operations, you’ll have set shifts
🏡 Working from home
  • If you’re employed as a distributed worker, we’ll pay for any equipment you need to do your job
  • If you’re normally office-based, you can still work from home occasionally - as long as you have a good internet connection and a private, quiet space which allows you to do your best work
  • We’ve teamed up with Abellio to make season travel tickets easy to buy and more accessible by helping spread the cost of an annual travel ticket interest free over 10 months
🌴 Holiday
  • 26 days’ a year, plus bank holidays – or opt out of bank holidays and take 34 days whenever you like
  • 255 hours, equivalent to 34 days, if you’re in Customer Operations (Customer Operations are scheduled to work bank holidays, but can request them off)
  • 1 month’s unpaid leave every year
  • 8 weeks of paid sabbatical leave after every 5 years of service
⛑️ Health & Wellbeing
  • Paid sick leave for physical and mental health
  • Private healthcare cover
  • Additional health cover through the health cash plan
  • An Employee Assistance Programme, with 24/7 confidential support for things like bereavement or health worries
  • Access to the cycle to work scheme for some fresh wheels
📚 Learning
  • Learning budget of ÂŁ1,000 a year for books, training courses and conferences
  • Regular knowledge-sharing sessions with your squad, collective and discipline
  • A library of industry-related books that you can borrow at any time
đź’° Pension
  • We'll automatically enrol you into our pension scheme with Aviva
  • Monzo contributes the equivalent of 4% of your base salary. Monzo will match any additional contributions that you make up to a maximum of 6%
  • You'll need to contribute 4% to, and you can choose to contribute more to take advantage of Monzo's additional contributions!
  • You can opt out if you'd prefer not to have a pension at all
🧡 Family
  • Paid maternity, paternity, adoption or shared parental leave, if you’ve been with us for at least 13 weeks
  • 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
  • 3 months of secondary caregiver leave at 100% pay
  • Life insurance from Unum
  • All Monzonauts, including those based outside of the UK, will have access to fertility and family-forming health benefits via Fertifa.
👥 Community
  • Monthly budgets for squads and managers to use for team activities
  • Gifts to Monzonauts to say thanks when we reach company milestones&celebrations
  • Free company merch (we’re talking hoodies, t-shirts and more) for personal milestones such as joining Monzo, becoming a caregiver and your anniversary
  • Regular socials, such as quizzes, movie nights and bingo, as well as an annual company-wide party
  • Live weekly yoga you can join in our London office or remotely
  • Free breakfast, hot and cold drinks, biscuits and fruit every day in our offices
  • Hot lunches twice a week on us, as well as grab and go options if you’re based at the office
  • Regular webinars, lunch and learns, and speakers on topics which matter to you
Lead Machine Learning Scientist at Monzo Bank
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: ÂŁ70K - ÂŁ110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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