KPMG Sr. Associate, Data Modeler, Financial Services in Denver, Colorado

Sr. Associate, Data Modeler, Financial Services

New York, New York

Requisition #: 36312

Practice Area: Business Support Services

Location: Irvine, CA; Los Angeles, CA; Denver, CO; Washington, DC; Atlanta, GA; Charlotte, NC; New York, NY; Philadelphia, PA; Dallas, TX; Seattle, WA

Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.

KPMG is currently seeking a Sr. Associate, Data Modeler to join our- Center of Excellence for Advanced Analytics to work with our Financial Services team.

Responsibilities:

  • Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models

  • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations

  • Assess, capture, and translate issues and requirements into structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans

  • Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)

  • Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members

  • Deliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; manage assumptions, and risks, and work with others to clear issues

Qualifications:

  • Minimum of three years of work experience involving: modeling (regression, machine learning, feature selection, dimension reduction, validation); data (extracting, preparing, munging, validating); building analytics pipelines; analytics and data science landscape; minimum of one year of training specific to artificial intelligence, and two plus years of experience leading work streams with two plus data scientists, engineers, and other data & analytics professionals

  • Bachelor's or Master's degree from an accredited college/university in an applied quantitative discipline, such as Data Science, Analytics, Computer Science, Engineering, or Mathematics

  • Strong knowledge in design and building of machine learning pipelines, including data extraction, feature engineering from structured and unstructured data; the entire software development lifecycle; and software development methodologies (frameworks, tools and technical architecture)

  • Ability to apply artificial intelligence techniques to achieve concrete business goals; work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security

  • Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL); data visualization tools (Tableau, QlikView, and others)

  • Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

KPMG 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, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. Thecontains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

Our Benefits

Health

KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.

Personal Time Off (PTO)

Up to 30 PTO Days per year (depending on job classification/level/years of service).

Financial

  • 401(k) and Pension Plans

  • Dependent Care Flexible Spending Account

  • Health Care Flexible Spending Account

  • Mortgage Assistance Program

  • HomeBenefits@Work Program

  • Hyatt Legal Plan

  • Benefits vary by employment status.