Quant Analytics Manager

JPMorgan Chase Bank

0 - 7 years

30 - 35 Lacs

mumbai

Posted:1 day ago| Platform:

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Skills Required

data analysis sas analytical consulting agile operations analytics financial services sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Quant Analytics Manager in Customer Experience Analytics within the Decision Sciences team, you will lead efforts to transform data into actionable insights that drive business value and enhance client satisfaction. You will collaborate across teams to deliver impactful solutions and foster a culture of innovation and growth.

Job responsibilities

Lead partnerships with Operations stakeholders and Product groups to drive data-informed strategies
Build business cases, design tests, and analyze pilot program performance to inform customer strategies
Analyze customer interactions across channels to identify journeys and friction points
Develop and report on Operations performance metrics and KPIs using advanced analytical tools
Create self-serve tools to empower decision-makers with real-time information
Mentor and coach a team of data professionals, driving consistent high performance

Required qualifications, capabilities and skills

Bachelor s or Master s degree in a quantitative field and twelve years of applied data analytics experience
Hands-on experience in system design, data analysis, and operational stability
Proficient in at least four data analytics tools or technologies (SQL, Python, SAS, Tableau, Alteryx)
Strong database skills and ability to write, optimize, and tune complex SQL scripts
Demonstrated ability to lead and mentor teams, manage projects end-to-end, and deliver under strict timelines
Excellent communication skills to influence and collaborate with senior leaders and stakeholders
Solid understanding of IT processes, databases, and analytics data hub development

Preferred qualifications, capabilities and skills

Experience in ficial services or consulting supporting ficial firms
Familiarity with big data disciplines, AWS, and Agile methodologies
Hands-on experience with sourcing, transforming, and analyzing structured and unstructured data
Growth mindset and passion for continuous learning and sharing industry knowledge

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