About Lendable
Lendable is on a mission to make consumer finance amazing:
faster, cheaper and friendlier. We're building one of the
world’s leading fintech
companies and are off to a strong start: One of the
UK’s newest unicorns with a team of just over 400 people Among the
fastest-growing tech companies in the UK Profitable
since 2017 Backed by top investors including
Balderton Capital
and
Goldman Sachs Loved
by customers with the best reviews in the market (4.9 across 10,000s of reviews on
Trustpilot ) So far, we’ve rebuilt the
Big Three
consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets
(UK and US)
where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit.
You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in
small teams of exceptional people , who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the
best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Machine Learning Engineer into our team! Lendable is the
market leader in real rate risk-based pricing , offering consumers transparency and product assurance at the point of application. Machine learning sits at the heart of this USP, developing and deploying credit risk models to
underwrite loan and credit card products. Tech stack Python FastAPI Pydantic Pytorch Tensorflow AWS Docker Rabbit MQ Kubernetes Your team's objectives The data science team
develops proprietary behavioural models
combining state-of-the-art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. This role has a focus on deploying our
ML models and developing the supporting infrastructure We work across the business in a
multidisciplinary capacity to identify issues , translate business problems into data questions, and architect and build solutions. How you'll impact those objectives Learning the domain of products
that Lendable serves, and understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Design systems to integrate machine learning models into scalable applications. Develop and maintain tools
and libraries for the data science pipeline. Clearly communicate results
to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge. Key skills Experience using
Python
and
SQL Strong proficiency with
PyData stack Understanding of
web frameworks such as FastAPI Knowledge of machine learning techniques and their
respective pros and cons Confident communicator
and contributes effectively within a team environment Self-driven
and willing to lead on projects / new initiatives Nice to haves Strong
SQL
and
interest in data engineering Deep learning model
development experience GPU
inference and deployment experience Interview Initial call with TA Take home task Task debrief and case study interview Final interviews with Exec team Life at Lendable The opportunity to scale up one of the
world’s most successful
fintech companies. Best-in-class
compensation, including equity. You can work from home
every Monday and Friday
if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chef
prepares fresh, healthy lunches in the office every Tuesday-Thursday. We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to
private health insurance . We're an
equal opportunity employer
and are looking to make Lendable the most inclusive and open workspace in London. Check out our
blog !
#J-18808-Ljbffr
faster, cheaper and friendlier. We're building one of the
world’s leading fintech
companies and are off to a strong start: One of the
UK’s newest unicorns with a team of just over 400 people Among the
fastest-growing tech companies in the UK Profitable
since 2017 Backed by top investors including
Balderton Capital
and
Goldman Sachs Loved
by customers with the best reviews in the market (4.9 across 10,000s of reviews on
Trustpilot ) So far, we’ve rebuilt the
Big Three
consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets
(UK and US)
where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit.
You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in
small teams of exceptional people , who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the
best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Machine Learning Engineer into our team! Lendable is the
market leader in real rate risk-based pricing , offering consumers transparency and product assurance at the point of application. Machine learning sits at the heart of this USP, developing and deploying credit risk models to
underwrite loan and credit card products. Tech stack Python FastAPI Pydantic Pytorch Tensorflow AWS Docker Rabbit MQ Kubernetes Your team's objectives The data science team
develops proprietary behavioural models
combining state-of-the-art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. This role has a focus on deploying our
ML models and developing the supporting infrastructure We work across the business in a
multidisciplinary capacity to identify issues , translate business problems into data questions, and architect and build solutions. How you'll impact those objectives Learning the domain of products
that Lendable serves, and understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Design systems to integrate machine learning models into scalable applications. Develop and maintain tools
and libraries for the data science pipeline. Clearly communicate results
to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge. Key skills Experience using
Python
and
SQL Strong proficiency with
PyData stack Understanding of
web frameworks such as FastAPI Knowledge of machine learning techniques and their
respective pros and cons Confident communicator
and contributes effectively within a team environment Self-driven
and willing to lead on projects / new initiatives Nice to haves Strong
SQL
and
interest in data engineering Deep learning model
development experience GPU
inference and deployment experience Interview Initial call with TA Take home task Task debrief and case study interview Final interviews with Exec team Life at Lendable The opportunity to scale up one of the
world’s most successful
fintech companies. Best-in-class
compensation, including equity. You can work from home
every Monday and Friday
if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chef
prepares fresh, healthy lunches in the office every Tuesday-Thursday. We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to
private health insurance . We're an
equal opportunity employer
and are looking to make Lendable the most inclusive and open workspace in London. Check out our
blog !
#J-18808-Ljbffr
