Expires soon KPMG SA

Associate, Emerging Technologies, KPMG Tax Ignition

  • Atlanta (DeKalb)
  • Studies / Statistics / Data

Job description

Business Title:

Associate, Emerging Technologies, KPMG Tax Ignition

Requisition Number:

35355 - 26

Function:

Tax Services

Area of Interest:

State:

GA

City:

Atlanta

Description:

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking an Associate to join ourTax Transformation practice.

Responsibilities:

·  Work with Tax business teams to identify and analyze business problems, provide technical feasibility, estimates, and develop innovative solutions leveraging one or more digital technologies (Process Robotics, Machine Learning, Data Analytics, Data Visualization, etc.)    
· 
Serve as a developer and Subject Matter Expert (SME) in one or several of the above mentioned domains and help establish a competency in those areas for Tax Ignition

· 
Prepare process and technical documentation and artifacts, actively participate in proof of concepts, hackathons, vendor product evaluations and present findings to team

· 
Mentor and lead junior team members and provide technical oversight in hands-on manner on design and development tasks

· 
Interface with internal stakeholders and external clients

· 
Work effectively with various technology groups, clients and tax domain experts

Qualifications:

·  Bachelor’s degree from an accredited college/university or foreign equivalent (Master’s degree preferred) in engineering, computer science or other quantitative disciplines like statistics, math or others plus two to five years of relevant programming experience.
· 
Proven experience with programming in one or more Object Oriented Programming languages such as C#, Python, or Java, with the ability to pick up new languages and technologies quickly

· 
Experience with one or more digital technologies like Data & Analytics (Alteryx, Talend, PowerQuery etc.) Visualization ( Tableau, Qlik, PowerBI etc), Automation (Blue Prism, Automation Anywhere, WinAutomation, UiPath etc), Machine Learning (SciPy, numpy, etc ), Big Data tools (Spark, Hive, Pig, etc)

· 
Demonstrated problem solving and critical thinking skills with strong analytical and quantitative abilities and willingness and ability to travel as needed, at times with relatively short notice and to work on-site at client premises.

· 
Excellent presentation, communication (written and verbal), and listening skills, along with having adaptability and flexibility and willingness to shift between technologies and roles

· 
Strong troubleshooting skills, with the ability to work in a high-pressure team environment, and willingness to work hours as needed to meet business and client deadlines

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. Theattached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

GL:

6

GF:

15305

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