76 applicants

Company

Original Job Post

KeyBank · 5 days ago

Senior Quantitative Analytics Manager

United States

Full-time

Remote

Senior Level

$130K/yr - $180K/yr

6+ years exp

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Insider Connection @KeyBank

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Responsibilities

Provide strategic consultation and thought leadership to senior / executive level business partners

Anticipate business partner needs

Drive the output of the team – ensure “executive ready” work product in alignment with business priorities

Influence / impact strategy for data sourcing

Anticipate emerging needs; identify industry data trends and technologies

Proactively coach and develop others on building technical skills

Promote the group and their capabilities to stakeholders

Effectively collaborate and partner at all levels of the organization; guides, advises, challenges, and influences to drive organizational impact

Provide solutions based on “connecting the dots”; leverage business insights to align, develop, and build holistic strategies and solutions that align with LOB priorities and consider knowledge of cross-LOB interdependencies

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Statistical modelingPythonRSasDatabaseCodingCloud computingDistributed computingForecastingEmerging techniquesRisk assessmentContingency planningData modelingTranslating technical conceptsProblem-solvingCommunicationCoachingLeadershipPresentation

Required

Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years minimum of relevant experience; or bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 7 years of relevant experience

Strong statistical modeling background

Advanced Python/R/SAS: Databases, Efficient coding, Can build strong code controls and translate code into high-level commentary

Understanding of and ability to leverage: Cloud-based computing, Distributed computing

Establish standards and best practices; forecast future modeling tools / techniques

Identify, employ, and evangelize emerging techniques from industry / research

Coach others on data modeling methods / techniques

Facilitate sessions for complex data models

Assess and understand risks; contingency plans

Communicate observations to senior executives

Translate technical observations to a non-technical audience

Superior written and verbal communication skills; delivers high quality written messages; coaches others; Can effectively translate and simplify complex technical concepts and language; Keeps team apprised of relevant LOB and bank-wide topics; Knows when to ensure transparency; Confident and comfortable presenting to all levels of the organization including at most senior levels; Recognized for executive presence, knows how and when to elevate the message