Senior Data Scientist - Credit Risk Modelling

at  Newday

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 May, 2024Not Specified29 Feb, 2024N/AMathematics,Machine Learning,StatisticsNoNo
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Description:

WE NEED KNOWLEDGE, EXPERIENCE + EXPERTISE IN:

MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics)
Experience within a regulated financial services organization
Ability to present sophisticated findings clearly, adapting the level of detail to the audience
Experience in supporting model deployment and working with DevOps/Implementation teams

Responsibilities:

The Data Science team is at the heart of NewDay, solving real world problems and providing transformational value for the business. Through our proprietary platforms and analytical assets, we provide infrastructure, data and insights to our business partners. Through our strong credit data science models and reporting capabilities, we support responsible lending and a top-notch credit journey for our customers.
The Specialist Data Scientist will be a key contributor to the Data Science team at NewDay. Over the past few years, we have built the team and framework to produce powerful data science solutions for all aspects of the customer journey (Customer acquisition, Customer management, Collections, Affordability, Fraud and others), using modern data science methodologies and multiple sources of data, building on the strong foundation of expert insight into credit risk behaviours.
The team is made up of several backgrounds and profiles, with two main skillsets: data science and credit experience and knowledge. Any successful candidate for the role is likely to have a strong modelling background and work proactively to round up their profile and ultimately master both skillsets along with a solid understanding of our data.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

MSc

Proficient

1

London, United Kingdom