Senior Data Scientist (US Products)

Requirements

• Ideally, this role will suit someone with a proven background in building models ideally in credit, lending, or other areas of financial services
• Knowledge of machine learning techniques and their respective pros and cons
• Ability to communicate sophisticated topics clearly and concisely
• Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow
• Curiosity, creativity, resourcefulness and a collaborative spirit
• Interest in problems related to the financial services domain – a knowledge of loan or credit card underwriting is advantageous
• Confident communicator and contributes effectively within a team environment
• Experience mentoring or leading others
• Self-driven and willing to lead on projects / new initiatives
• Familiarity with data used within credit risk decisioning such as Credit Bureau data, especially across multiple geographies is an advantage

What the job involves

• We are excited to be hiring a new Senior Data Scientist for our team
• Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products
• You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models
• This role will primarily focus on our US unsecured loans and credit cards business
• The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency
• Research new data sources and unstructured data representation
• Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions
• Deliver data services to a wide variety of stakeholders by engineering CLI programs / APIs
• Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement
• Use your expertise to build and deploy models that contribute to the success of the business
• Stay up to date with the latest advancements in machine learning and credit risk modelling proactively proposing new approaches and projects that drive innovation
• Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling
• Extract, parse, clean and transform data for use in machine learning
• Clearly communicate results to stakeholders through verbal and written communication
• Mentor other data scientists and promote best practices throughout the team and business

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