VP, Quant Analytics Lead

Compensation

: $205,500.00 - $205,500.00 /year *

Employment Type

: Full-Time

Industry

: Executive Management



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VP, Quant Analytics LeadReq #: 190093057_3Location: New York, NY, USJob Category: Data & AnalyticsJob Description:About Chase:Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.4 trillion and operations worldwide. Chase serves nearly half of America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com.The Position:This Strategy and Finance data science - Vice-President position will be part of CCB Data & Analytics Team, reporting directly to the Executive Director, Small Business Decision Sciences - Strategy and Finance.They will work hand-in-hand with the Finance and Strategy departments, helping them address issues that require advanced analytics and/or a (big) data-driven approach.This role is a combination of consulting (problem-solving, ability to frame a problem and formulate hypothesis, interactions with senior stakeholders) and data science skills. The successful candidate will be strong in these two dimensions.Primary Responsibilities:Frame strategic issues, establish hypothesis and lay out a path to resolution* Help frame the issue, establish a framework to solve it by breaking it down in sub-issues* Establish early hypothesis* Design analysis to test hypothesis and answer the key questionsPerform analysis using a scientific, data-driven approach, and using advanced analytical tools* Develop insights, methods or tools using various analytic methods such as predictive modeling, regressions, machine learning, time series analysis, simulations, etc.* Handle large amounts of data from multiple and disparate sources* Analyze the data and the results to ensure data quality, statistical relevance, etc. with a critical mindsetProvide our business partners with actionable insights, and ensure buy-in* Communicate in a simple, conclusive manner, focusing on the key messages* Always tie back the analysis to the business issue. Focus on the 'so-what' and how to make the results actionable* Ensure buy-in from key stakeholders and clientsOwn your work and your stakeholders* Carry the work in a responsible and autonomous manner.* Make sure to leverage adequately all the resources available (incl. managers, colleagues, etc.)* Own stakeholder relationship and help shape their agenda, ensure constant alignment on prioritiesCoach and develop your skills, build expertise within Chase Small Business Banking* Bring and build expertise in advanced analytics, data management, data visualization/reporting, and the associated tools (R, SAS, Tableau, Alteryx, Python, etc.)* Align with data owners and department managers, contribute to the development of data models and architecture for analytics* Analyze and explore data improvement opportunities (existing and new sources)* Coach and mentor more junior team members, as well as peers and managers on your areas of expertise* Act as a SME in data science and analytics within Small Business BankingBackground:* PhD or MSc. in a scientific field* 5 years (8 if MSc.) of advanced analytics experience with significant exposure and appetite to strategic issues, and a proven ability to think "like a strategist" Or 5 years (8 if MSc.) of strategy consulting (can be internal) with significant exposure to data science and advanced analyticsSkills:* Strong problem-solving skills* Ability to deliver action-oriented, clear key messages emanating from complex analysis* Ability to explain complex mathematical concepts, algorithms and data structures* Proficient in data mining and advanced analytical methods* Proficiency in data analysis and visualization languages/tools such as Python, SAS, R, Tableau, Alteryx* Experience in Big Data platforms and related technologies such as Hadoop, Hive, Pig, Apache Spark* SQL experience
Associated topics: accounting, analyst, audit, corporate banking, expense, financial controller, kpmg, risk, tax, treasure * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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