Senior Associate, Data Modeler (Blockchain)

Company: KPMG
Location: New York, New York, United States
Type: Full-time
Posted: 29.AUG.2021
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Summary

**Business Title:** Senior Associate, Data Modeler (Blockchain)**Requisition Number:** 65436 - 65**Function:** Business Support Services**Ar...

Description

**Business Title:** Senior Associate, Data Modeler (Blockchain)**Requisition Number:** 65436 - 65**Function:** Business Support Services**Area of Interest:****State:** NY**City:** New York**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 a Senior Associate, Data Modeler to join our KPMG Blockchain Center of Excellence organization.Responsibilities:+ Work in multi-disciplinary and cross-functional teams to translate climate-related business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning climate impact on business operations, process, delivery and financial performance+ Operate 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 such as 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 to lower carbon footprint, manage climate risks and plan adaptation strategies; 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, risks and work with others to clear issuesQualifications:+ Minimum three years of recent 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 and analytics professionals+ Bachelor's degree from an accredited college/university in an applied quantitative discipline, such as Data Science, Analytics, Climate Science, Computer Science, Engineering or Mathematics; Master's degree preferred+ 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 assess climate impact on clients' business goals and performance; 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)+ Able to travel at least 50% of the time; 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.**GL:** 5**GF:** 15313

 
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