Lead Machine Learning Engineer - remote friendly
Qonto

Qonto

Lead Machine Learning Engineer - remote friendly

L'entreprise

Qonto

Qonto

  • FinTech / InsurTech, SaaS / Cloud Services
  • Entre 250 et 2000 salariés

Le poste

Lead Machine Learning Engineer - remote friendly

Cette offre a été pourvue !

Who are they?

Their mission? Creating the finance solution that energizes SMEs and freelancers, so they can achieve more. They simplify everything from everyday banking to bookkeeping and spend management. At Qonto, they’re passionate about creating the best product - with both impact and a great user experience. So if you’re looking for an ambitious team that’s revolutionizing a rather old-fashioned industry, get in touch.
You can find out more about the Qonto Way here.

Alexandre and Steve launched Qonto in July 2017. Since then, the team has made great strides:

  • Becoming market leader for online SME banking in Europe with 300,000 SME clients
  • Getting recognized as one of the Top 10 startups to work for (LinkedIn | Glassdoor)
  • Opening offices in Paris, Berlin, Milan, and Barcelona
  • 900+ happy Qontoers building a finance solution businesses love to use.

Their values:

  • Ambition | They tackle big challenges. No matter what
  • Teamwork | They create momentum by working together, at the same speed
  • Mastery | They pursue excellence through continuous learning. They face challenges with humility. Every day
  • Integrity | They’re open. They’re honest. And they earn the trust of their clients and each other
Qonto
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Job description

To follow Qonto's ambition, we created the Data Department, handling Data Analysis, Engineering, and Science. The data department has since grown from 5 to 35+ people within two years (and we're still hiring)!

Within the Data department, the Data Products Team (12+) is an applied machine learning (ML) team with a focus on delivery.

As a Lead Machine Learning Engineer, you will be collaborating closely with Simon, our Senior Lead Data Products. You will lead and grow the Fraud/Risk Team in charge of the fraud detection and risk scoring models at Qonto.

The Machine Learning systems you’ll release will interact with every transaction within our payment institution: this is one of the most challenging and high-impact machine learning issue in our sector as a FinTech company.

🤝 Your future manager

Your manager will be Simon, who is in charge of the Data Products team at Qonto!

His background? After his experience in fast-scaling organizations at both ManoMano & Kapten where he managed and built Data Science teams from scratch, Simon joined Qonto to structure our Data Products departments!

What does he bring to the team? As an expert in his field, he has hands-on experience on implementing and taking Machine Learning models into production in product-driven & cross-functional teams. Simon also has a true passion for mentoring and coaching the team..

👩‍💻🧑‍💻 As a Lead Machine Learning Engineer at Qonto, you will

Recruit, build and manage a team of 3 to 6 applied Machine Learning Engineers

Foster collaboration with Engineering and Product leads to define a vision and strategy for your team

Work hand-in-hand with Fraud, Risk & Compliance stakeholders

Drive the delivery of your team to reach business objectives

Ensure high quality by establishing and using the best engineering practices

Hire the best talents to build a collaborative, inclusive, and supportive team culture

Orient and support your team through regular feedback, 1:1 sessions, pairing sessions, mentoring, and quarterly progress reviews

Design, build, test, document, run, review and maintain production code in Python

Support a critical service used by tens of thousands of users on a daily basis

🤔 What you can expect

• The opportunity to build from scratch your own team & challenging machine learning systems that are crucial for Qonto’s future

The Data Products team was funded in mid-March 2022. You’ll be at the forefront of this new effort and contribute to building new machine learning systems for business needs that aren’t yet answered. You won’t be optimizing a fleet of previously developed models: rather, you’ll have the opportunity to write the next chapter from the ground up.

• Qonto is highly data-driven and our different business stakeholders are also thriving in that direction

Our stakeholders have a strong business experience in Fraud, Risk, and Compliance, but also understand what Machine Learning is. For instance, Arnaud (Head of Risk) is a former Data Scientist. You’ll work with stakeholders than can challenge you and speak the same language.

• Qonto has a culture based on efficient feedback loops that allow us to understand & monitor quickly the impact of our actions

The Qonto Way, a set of values inspired by the Lean Methodology, stresses quality. You’ll work on one topic at a time (one piece flow), with a culture that promotes right-first-time and mastery.

• Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting strong teamwork

The Data Products team reports to Jérémie (VP Data), who works with Aymeric (CTO). The Data Products team is a Tech team: it’s held to the same software engineering standards as our front or backend engineers, and benefits from the strong support of the SRE team. The team owns its services in production and deploys them on the same infrastructure as the rest of the Tech team (AWS, Argo CD, Kubernetes).

• The team is at the heart of Qonto’s business with a powerful impact on our bottomline

The Data Products team drives business impact at the core of Qonto. As a payment institution, fighting fraud is both a requirement to operate and a prerequisite to thrive. What we do has a direct effect on the company and is an enabler for scaling. You’ll work on difficult problems (few or no labeled data, imbalanced datasets, adversarial setting, concept drift) where the outcome matters.

🏅 About You

User-focused and outcome-oriented: You want to solve high-impact business problems and deliver value to our users in production

Leadership: Through your past leadership experience, you demonstrated your ability to help people grow and work together on successful projects

Team Player: You are able to work collaboratively across departments: giving credible ETAs and meeting them, helping others…

Communication skills: You have effective communication skills, to build alignment and articulate purpose. As a remote-first team, good writing is key

Mastery: You have strong technical experience building real-time ML models for production. You care about the craft and champion high standards

Language: You are fluent in English

If you read this far and feel like this could be a great opportunity for you, don't let the imposter syndrome prevent you from applying and hit the button "Apply", we'd really love to hear from you!

🎁 Perks

A laptop. An inclusive work environment. A tailor-made career track. And so much more to help you succeed…

Office & Team Life

- A fully-renovated building in the center of Paris with WeWork services

- The latest equipment from Apple

- Monthly team events

- Free coffee and snacks in the kitchen

All our benefits

- A competitive salary package

- Remote Policy: from 2 days per week to Full remote

- 5 to 10 days off in addition to the legal 25 days

- Alan health insurance, Moka Care to take care of your mental health, and Gymlib for sports and wellness activities

- Swile Card for lunch

- An inclusive environment with a focus on parity: 44% of our teams are women

- A progressive parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners

- Relocation package and visa sponsorship for international talents (we have 60+ nationalities) including access to Busuu to improve your language skills

- Career tracks and mobility opportunities that can match all expectations

💪 Our hiring process:

- A 60 min video call with one of our Talent Acquisition Managers, to better understand your career plan and answer any questions you may have

- A 60 min video call with your future manager, to be aligned on expectations on both sides and to talk about how you would work together

- A remote exercise to evaluate your skills and give you a taste of what working Qonto could be like

- Video calls or onsite interviews with future team members (optional) to help you understand what working at Qonto is like

- A final video call or onsite interview with the manager of your future Department

We will send you an interview guide so you can best prepare yourself.

On average our process lasts 20 working days and offers usually follow within 48 hours 🤞

Qonto

Qonto

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