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Director Data Scientist, Statistical and Risk Modeling

Company: KPMG
Location: Washington
Posted on: January 16, 2022

Job Description:

**Business Title:** Director Data Scientist, Statistical and Risk Modeling**Requisition Number:** 76216 - 20**Function:** Advisory**Area of Interest:** Digital Lighthouse**State:** DC**City:** Washington**Description:**You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.KPMG is currently seeking a Director to join our KPMG Lighthouse (https://home.kpmg.com/us/en/home/insights/2015/01/data-and-analytics.html?location=us) - Center of Excellence for Advanced Analytics.Responsibilities:+ Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in banking and financial services domain. Focus on leading model development and validation efforts relating to regulatory requirements (e.g. CCAR/DFAST, CECL, Initial Margin, etc.) and economic risk (e.g. PG/LGD, mortgage prepayment, pricing, xVA, customer segmentation, credit scorecard, etc.). Understand banking industry model governance requirements and procedures. Lead and evaluate model documentation, explainability, transparency, and maintainability.+ Lead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of machine learning engagements; Work with clients to manage risks, set expectations, and ensure successful delivery.+ Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, project timelines and budgets, high quality written deliverables, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences.+ Work internally within KPMG's other areas (Tax, Audit, and Advisory) to advance the client understanding of Data Science, Advanced Analytics, and Statistical MOdeling; And with emerging technologies group within AI service providers (AWS, GCP and Azure) to provide a first-in-market solution approaches to complex business problems+ Deliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation and delivery+ Work with clients to discover data sources and retrieve, prepare, and process a rich data variety of data sources such as social media, news, internal/external documents, emails, financial and operational dataQualifications:+ Minimum of ten years of experience leading teams of at least ten data scientists, statisticians, quantitative finance professionals, engineers, or other data & analytics professionals, including business development, requirements gathering, people development, and quality management.+ Graduate level degree from an accredited college/university in Statistics, Econometrics, Quantitative Finance, Applied Math, Engineering, or related fields; PhD is preferred.+ Ability to work with the business to understand goals and requirements. Create analytics-based solutions and an accompanying business case that meets the business objectives and business constraints; Ability to succinctly communicate technical concepts to business people and to articulate the business value of analytical findings and results, both in writing and verbally.+ Demonstrable industry experience performing data science from data discovery, cleaning, feature engineering, model selection, validation, interpretation, and deployment; Experience coding statistical methods following software development and data science best practices, and ability to restructure, refactor and optimize code for efficiency. Ability to perform code reviews and model reviews and to coach staff level team members to refine and improve their skills+ Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, Python, Spark, Hadoop and emerging Cloud Capabilities on Azure, GCP and/or AWS; experience with command-line scripting, data structures, and algorithms; Ability to work in a Linux environment+ Ability to travel when necessary; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the futureKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.At KPMG any employee, partner or contractor must be fully vaccinated or have a reasonable accommodation for COVID-19 in order to go to any KPMG office, or to work on or in association with a federal contract (unless prohibited by applicable law).**GL:** 3**GF:** 15304

Keywords: KPMG, Washington DC , Director Data Scientist, Statistical and Risk Modeling, Executive , Washington, DC

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