Data Science Senior Manager - Financial Services

Data Science Senior Manager - Financial ServicesInd & Func AI Decision Science Senior Manager | Senior Level | Full timeAccenture is a leading global professional services company that helps the world's leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services"”creating tangible value at speed and scale. We are a talent and innovation-led company with 738,000 people serving clients in more than 120 countries.You are:Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.An experienced senior consulting executive who has built and delivered transformative data & AI projects and solutions in the Financial Services and/or Insurance industry. As a data and AI expert with strong analytical and statistical skills, you know how to take massive amounts of data and find the insights our clients need to help their companies do more.The work:Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.Develop custom prescriptive and AI/ML models based on in-depth understanding of underlying data, data structures, algorithms, regulatory requirements, and business problems to ensure analytics deliverables meet client needs.Prototype and demonstrate products for clients in customer or Accenture environments.Partner with solution providers to deliver solutions augmented with data science and tailored for clients.Drive innovation with Generative AI.Summarize and present data science-backed results and recommendations to executive audiences.Here's what you need:Minimum of 10 years' experience of demonstrated results in Data Science with Financial Services and/or Insurance.Minimum of 8 years' expertise with advanced statistical modeling, AI, machine learning, optimization modeling, data mining, unstructured data analytics in corporate and/or academic research environments.Minimum of 8 years' experience developing machine learning methods, including familiarity with techniques including clustering, regression, optimization, recommendation, neural networks, and others.Minimum of 8 years' experience creating and executing presentations to executive-level audiences in corporate and/or academic research environments.Bachelor's or Master's degree in a quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields.2 years of prior experience in model validation or model audit.2 years of prior experience in a regulatory agency (FRB, OCC, FDIC, SEC) in a quantitative or analytical supervision role.Prior experience with credit risk, market risk, operational risk, PPNR, AML/KYC, fraud models.10 years of experience working in a consulting capacity.Experience managing and leading teams.Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions.Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.We accept applications on an on-going basis and there is no fixed deadline to apply.Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.#J-18808-Ljbffr

Created: 2024-11-05