Who’re we?
Hello! 👋 We’re Ravelin! We’re a fraud detection firm utilizing superior machine studying and community evaluation expertise to resolve huge issues. Our aim is to make on-line transactions safer and assist our purchasers really feel assured serving their clients.
And we now have enjoyable within the meantime! We’re a pleasant bunch and delight ourselves in having a robust tradition and adhering to our values of empathy, ambition, unity, and integrity. We actually worth work/life stability and we embrace a flat hierarchy construction company-wide. Be a part of us and also you’ll study quick about cutting-edge tech and work with a few of the brightest and nicest folks round – take a look at our Glassdoor evaluations.
If this seems like your cup of tea, we’d love to listen to from you! For extra info take a look at our weblog to see if you need to assist us stop crime and defend the world’s largest on-line companies.
The Crew
You may be becoming a member of the Detection crew. The Detection crew is chargeable for conserving fraud charges low – and purchasers comfortable – by repeatedly coaching and deploying machine studying fashions. We goal to make mannequin deployments as simple and error-free as code deployments. Google’s Finest Practices for ML Engineering is our bible.
Our fashions are skilled to identify a number of varieties of fraud, utilizing a wide range of information sources and strategies in actual time. The prediction pipelines are beneath strict SLAs; each prediction have to be returned in beneath 300ms. When fashions are usually not performing as anticipated, it’s right down to the Detection crew to analyze why.
The Detection crew is core to Ravelin’s success. They work carefully with the Information Engineering Crew who construct infrastructure and the Intelligence & Investigations Crew who liaise with purchasers.
The Function
We’re searching for a Workers Information Scientist to behave as a technical chief on behalf of the Detection crew, engaged on fixing our most complicated challenges. You’ll use your deep experience to information the crew in investigating ambiguous circumstances and guaranteeing the basic integrity of our modeling approaches.
We now have to construct sturdy fashions which can be able to updating their beliefs once they encounter new strategies of fraud. You’ll have the autonomy and affect to form our technical roadmap and be supplied with the sources you should construct world-class fraud detection fashions. You’ll not solely deal with our most difficult greenfield analysis but in addition outline the ideas and practices that make our incremental enhancements protected, scalable, and impactful.
Tasks
- Lead the architectural design and evolution of our mannequin analysis and coaching infrastructure, guaranteeing scalability and greatest practices.
- Spearhead the analysis, improvement, and deployment of novel modeling approaches for our most complicated fraud issues, setting new requirements for efficiency and robustness.
- Mentor and develop different information scientists on the crew, fostering a tradition of technical excellence and innovation.
- Affect technical and product technique by collaborating with management throughout Information Science, Engineering, and Product.
- Act as the ultimate escalation level for the crew’s most difficult mannequin efficiency and manufacturing points, mentoring others in superior debugging methods.
- Proactively establish and analysis rising fraud typologies and cutting-edge machine studying strategies, setting the strategic route for our fraud detection capabilities.
- Drive vital enhancements in our manufacturing ML infrastructure by figuring out and implementing key options and architectural adjustments.
Necessities
- Intensive, hands-on expertise and a confirmed monitor file of designing, constructing, and deploying impactful ML platforms & ML fashions in a manufacturing surroundings.
- Expertise influencing the technical roadmap of adjoining groups, reminiscent of Information Engineering and Product, to construct a simpler and cohesive ML ecosystem.
- Deep experience in information science and engineering greatest practices (model management, CI/CD, testing, observability) and a historical past of making use of them to construct sturdy, scalable machine studying techniques.
- Distinctive analytical and problem-solving abilities, with a demonstrated potential to outline and clear up extremely ambiguous, complicated issues.
- Confirmed potential to guide and affect cross-functional groups, driving complicated tasks to completion.
- Distinctive communication abilities, with the power to articulate complicated technical ideas and strategic rationale to a variety of audiences, from junior engineers to govt management.
- A excessive diploma of autonomy and the power to proactively establish, prioritize, and drive alternatives with vital enterprise affect.
- Being snug working with a hybrid crew.
Good to Haves
- Expertise with Go, C++, Java, or one other techniques language.
- Expertise with Docker, Kubernetes, and ML manufacturing infrastructure.
- PyTorch/Tensorflow deep studying expertise.
- Expertise utilizing dbt
Advantages
- Versatile Working Hours & Distant-First Setting — Work when and the place you’re most efficient, with flexibility and help.
- Complete BUPA Well being Insurance coverage — Keep coated with top-tier medical care on your peace of thoughts.
- £1,000 Annual Wellness and Studying Finances — Prioritise your well being, well-being and studying wants with funds for health, psychological well being, and extra.
- Month-to-month Wellbeing and Studying Day — Take each final Friday of the month off to recharge or study one thing new, as much as you.
- 25 Days Vacation + Financial institution Holidays + 1 Additional Cultural Day — Take pleasure in beneficiant break day to relaxation, journey, or have a good time what issues to you.
- Psychological Well being Help by way of Spill — Entry skilled psychological well being companies once you want them.
- Aviva Pension Scheme — Plan for the longer term with our pension program.
- Ravelin Provides Again — Be a part of month-to-month charitable donations and volunteer alternatives to make a optimistic affect.
- Fortnightly Randomised Crew Lunches — Join with teammates from throughout the corporate over in particular person or distant lunches each different week, on us!
- Cycle-to-Work Scheme — Save on commuting prices whereas staying energetic.
- BorrowMyDoggy Entry — Love canine? Spend time with a furry pal via this distinctive perk.
- Weekly Board Recreation Nights & Social Finances — Unwind with weekly board video games or plan your personal socials, supported by an organization funds.
*Job affords could also be withdrawn if candidates don’t meet our pre-employment checks: unspent felony convictions, employment verification, and proper to work*
In regards to the firm
Ravelin prevents fraud and protects margins for on-line companies across the globe.
We take a look at our purchasers’ information extra totally than anybody else to supply essentially the most correct fraud scores. Our system streamlines fraud detection by offering a management console that automates fraud prevention whereas alerting customers to what’s coming subsequent. All of our fraud selections are defined, which suggests customers not solely cease fraud, however obtain insights relating to the fraud that’s focusing on their enterprise.
We analyse buyer behaviour and transactions utilizing our highly effective information science and machine studying applied sciences, together with hyperlink evaluation and enterprise guidelines to supply extraordinarily correct fraud detection scores.
Ravelin is looking for extraordinary people to affix our crew and be necessary stakeholders in our progress.