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Digital Transformation & Data Modeling-Risk & Credit Analytics Lead

ID da vaga
109671
Publicado desde
03-Jul-2025
Organização
Global Business Services
Field of work
Research & Development
Empresa
Siemens S.A.
Nível de experiência
Profissional Experiente
Anúncio da vaga
Tempo Parcial
Modo de trabalho
Apenas escritório/presencial
Tipo de contrato
Permanente
Localização: Qualquer localização em que a Siemens esteja presente (mundialmente)
Digital Transformation & Data Modeling-Risk & Credit Analytics Lead Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? Transform the everyday with us SFS, Inc., a part of Siemens AG, is a global leader in project-based financing. The Risk Processes and Tools Group within SFS Inc. seeks an energetic and self-motivated Digital Transformation Lead for Project and Structured Finance Debt Americas within its digital transformation team. Join our SFS, Inc. team and lead Digital (AI) Transformation to transform risk management and credit analysis processes, driving innovation and efficiency in financial services. We are looking for a Digital Transformation & Data Modeling-Risk & Credits Analytics Lead. This is a hybrid opportunity based out of our Iselin, NJ office. Job Description: The Digital (AI) Transformation Lead will collaborate with various teams to support finance data, technology, and business unit organizations, aligning AI-related initiatives with key business imperatives. This role will contribute to aligning global AI strategy with enterprise data governance practices, including data policy, roles and responsibilities, processes, data definitions, data quality standards, security, and regulatory compliance levels. * Design, develop, and deploy machine learning models using Python, TensorFlow, PyTorch, or a similar framework. * Hands on experience with cloud-based AI/ML platforms such as Azure ML, AWS SageMaker, or Google Vertex AI. * Model versioning, deployment, and monitoring us MLOps tools and practices. * Build, train, optimize machine learning models for credit risk analysis and processes, and cash forecasting/predictive analytics. * Own the full life cycle of AI solutions from data ingestion and model training to deployment and monitoring, * Lead and drive the introduction of AI processes to enhance credit decision speed, efficiency, and data quality. * Rapidly prototype AI solutions and evaluate their business impact through A/B testing and performance metrics. * Screen the market for new AI tools and technologies to benefit Risk Managment, participate in RFP processes, and vendor selection. * Support ad-hoc data and business analysis to identify root causes of problems and recommend AI-based solutions. * Facilitate internal stakeholder discussions on AI business and data requirements and recommend solutions. * Develop AI-driven reports and analytics using SQL, Python, etc., and test prototypes to answer targeted business questions. * Participate in the Digitalization Community within the Risk organization, build a network of contacts, and help elaborate opportunities to use AI tools to improve credit risk analysis and processes. You will win us over by possessing the following qualifications: Basic Qualifications: * Bachelor's degree in an analytical discipline such as Mathematics, Actuarial Science, Statistics, Data Science, Computer Science, or Information Technology. * 5+ years of hands-on AI/ML development experience, including production deployment. * 5+ years of hands-on experience with developing AI models. * 5+ years of hands-on experience with SQL and exposure to BI tools such as Tableau or Power BI is a must. * 5+ years of experience with the ability to present and explain complex AI concepts to a non-technical audience. * Must be authorized to work in the United States without the need for sponsorship now or in the future. Preferred Qualifications: * Excellent time management skills. * Excellent interpersonal, verbal, and written communication skills. * Proven ability to present and explain complex AI concepts to a non-technical audience. * Ability to conduct reasonability checks and in-depth reconciliations. * Experience working in an Agile Development environment is a plus. * Experience in financial services or credit risk modeling is highly desirable * Detail oriented and solid organization skills are critical. * Highly driven with a can-do attitude, eager to learn, and solve complex problems. You’ll benefit from: * Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: [1] https://www.benefitsquickstart.com/siemens/index.html * The pay range for this position is $110,460-$189,360, and the annual incentive target will be 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with the purpose of adding real value for customers. Siemens Corporation is a U.S. subsidiary of Siemens AG, a leading technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology to add real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In fiscal 2023, which ended on September 30, 2023, the Siemens Group USA generated revenue of $19.9 billion and employs approximately 45,000 people serving customers in all 50 states and Puerto Rico. Our Commitment to Diversity, Equity, and Inclusion: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI [2] here. Protecting the environment, conserving our natural resources, fostering the health and performance of our people, as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy. #LI-JE1 References Visible links 1. https://www.benefitsquickstart.com/siemens/index.html 2. https://www.siemens.com/us/en/company/environmental-society-governance/diversity.html