Quantitative Analytics Manager - TreasuryKeyCorp • Brooklyn, New York, United States

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Quantitative Analytics Manager - Treasury

KeyCorp

Brooklyn, New York, United States

Brooklyn, New York, United States

Apply Now

About

Location: 4900 Tiedeman Road, Brooklyn Ohio Overview The Quantitative Analytics Manager or Senior Associate is primarily responsible for using advanced mathematical techniques to develop predictive time-series models related to Pre-Provision Net Revenue (PPNR) for Comprehensive Capital Analysis and Review (CCAR) stress testing and the corporate forecast, Interest-Rate Risk (IRR) for Asset-Liability Management (ALM) and Liquidity Risk. The role requires leveraging advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices, or emerging techniques, and quantitative tools / techniques. Responsibilities Create and leverage models, inferential statistics, and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?” Take responsibility for large, complex problems that have broad implications and are less frequent Recommend solutions based on understanding of the context, connections, and conclusions Review deliverables and proactively coach others on approach and work product Lead and evangelize on best practices of capturing and retaining data Coordinate with data stewards and anticipate needs, processes, and procedures Make continuous improvements to data procedures, including data efficiency Recommend best analysis method for the situation Qualifications Master’s degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree (or equivalent) in the same fields and at least 6 years of relevant experience Data Literacy Understanding of best practices for capturing and retaining data Pros and cons of competing analysis methods Experience leading by partnering with others to anticipate and understand needs Leading information practices, policies, and procedures Setting standards and expectations for data analysis tools and techniques, ensuring compliance with applications Promoting increased efficiency of data analysis by advocating clearer data requirements Technology & Techniques Advanced Microsoft Office Suite, SQL/NoSQL, relational data structure Data retrieval, archival, and ETL Advanced Python, R, SAS, and efficient coding Strong code controls and ability to translate code into high-level commentary Cloud-based computing and distributed computing Model Building & Maintenance Establish standards and best practices; forecast future modeling tools and techniques Identify, employ, and evangelize emerging techniques from industry or research Coach others on data modeling methods and techniques Facilitate sessions for complex data models Assess and understand risks, developing contingency plans Communicate observations to senior executives and translate technical observations to a non-technical audience Expected Competencies Leadership : Demonstrated leadership; may have direct reports; assumes accountability for their work; proactively coaches and guides the work of others; manages integration of activities typically within own team; demonstrates executive presence; offers an opinion and contributes to conversation. Partnering / Influencing : Engages and partners at mid- to senior-level leadership; establishes reputation as an effective and collaborative partner; coaches and develops relationship building skills; demonstrates managerial courage, willingness to dissent, and persuasive skills to influence others. Business Acumen : Understands LOB and KeyCorp strategy; leverages knowledge of competition and the business to anticipate needs and make recommendations; contributes materially to LOB strategy. Critical Thinking / Problem Solving : Anticipates business partner needs; sees the “bigger picture”; advises leaders to make informed decisions; considers longer-term business strategy in recommending solutions; makes decisions. Communication : Excellent writing skills; develops writing skills in others; delivers the right message at the right time via the right channel; articulates broad implications and impact; anticipates and addresses conflict; presents to senior levels with confidence; demonstrates executive presence. Compensation and Benefits This position is eligible to earn a base salary in the range of 116,000.00 to 216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience, and geographic location. Compensation also includes eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives. Equal Opportunity Statement KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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Brooklyn, New York, United States

Languages

English

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