to coordinate access to trading markets for our regional business units, to bundle the associated chances and risks plus to provide innovative services. Our core competencies include portfolio strategies, risk management and data processing. With activities in various European countries, we shape the future of energy. At E.ON diversity matters. We welcome all people and are convinced that differences … with product teams and business stakeholders across teams and regions to define and evolve data models Work closely with the business teams owning critical reporting (e.g. departments such as MarketRisk, Credit Risk, Accounting, Back Office) Maintain the quality and consistency of key business data across systems and departments Perform root cause analysis of data issues and … Support end users analyzing und understanding data Qualifications: A university degree and at least 3 years of professional experience in the energy or commodity trading business Solid energy trading, risk management and commodity trade life cycle knowledge is a plus, at a minimum we require a demonstrated interest in these topics Strong understanding of data pipelines, data validation, and More ❯
to coordinate access to trading markets for our regional business units, to bundle the associated chances and risks plus to provide innovative services. Our core competencies include portfolio strategies, risk management and data processing. With activities in various European countries, we shape the future of energy. At E.ON diversity matters. We welcome all people and are convinced that differences … with product teams and business stakeholders across teams and regions to define and evolve data models Work closely with the business teams owning critical reporting (e.g. departments such as MarketRisk, Credit Risk, Accounting, Back Office) Maintain the quality and consistency of key business data across systems and departments Perform root cause analysis of data issues and … Support end users analyzing und understanding data Qualifications: A university degree and at least 3 years of professional experience in the energy or commodity trading business Solid energy trading, risk management and commodity trade life cycle knowledge is a plus, at a minimum we require a demonstrated interest in these topics Strong understanding of data pipelines, data validation, and More ❯
About the roleWe are excited to be hiring a new Data Scientist 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. 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 marketrisk models.This role will primarily focus on our US unsecured loans and credit cards business. Our 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. Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and evaluate More ❯
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 … Manager for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing … the credit risk models to underwrite loan and credit card products. You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-marketrisk models. This role will primarily focus on our UK Cards business, but through team collaboration, you will be exposed to all areas of More ❯
Scientist for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing … the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-marketrisk models.This role will primarily focus on our UK Cards business, but through team collaboration, you will be exposed to all areas of Lendable. Our … team's objectives 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 More ❯
