Bulge Bracket Investment Banks

Quant Analytics Associate Senior - Trust and Security Analytics

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 7 days ago

No clicks

Compensation: Not specified
City: Bengaluru
Country: India

Senior Quant Analytics Associate in the Connected Commerce Enablement Analytics team. Delivers data-driven solutions to strengthen fraud and scam prevention and supports the Trust and Security Data work stream. Develops and maintains a data strategy roadmap, translating business priorities into actionable data initiatives and driving adoption of best practices in data management. Monitors and optimizes data processes and analytical models while collaborating with unit managers, end users, developers, and other stakeholders.

Location: Bengaluru, Karnataka, India

Join our team to advance your analytics career and make a direct impact on customer trust and security.

As a Quant Analytics Senior Associate within the Connected Commerce Enablement Analytics team, you will deliver data-driven solutions that strengthen fraud and scam prevention efforts. You will collaborate across teams to support the Trust and Security Data work stream, driving innovation and continuous improvement in data strategy.

Job responsibilities

Deliver analytical approaches to identify opportunities to improve fraud and scam prevention while balancing customer satisfaction

Develop and maintain a comprehensive data strategy roadmap in collaboration with Data Owners, Tech, and Product Owners, aligned with business goals and regulatory requirements

Collaborate with stakeholders to translate business priorities into actionable data initiatives

Drive adoption of best practices in data management and analytics through training, mentoring, and knowledge sharing

Continuously monitor and optimize data processes, analytical models, and infrastructure for improvement and innovation

Bring order to disparate requirements with strong problem-solving and client engagement skills

Integrate data discoveries and processes into operational capabilities by collaborating with unit managers, end users, developers, and other stakeholders

Required qualifications, capabilities, and skills

Bachelor’s degree in a relevant quantitative field

Eight years industry experience in Data and Analytics

Experience in digital and/or product analytics with understanding of common digital metrics and definitions

Demonstrated ability to define business KPIs and establish measurement frameworks

Proficient in modern analytics tools such as SQL, AWS, Hive, Hadoop, Spark, Python, R, and digital behavioral data tools like Adobe Analytics

Strong written and oral communication and presentation skills for diverse audiences, including senior leadership

Ability to work independently and collaboratively in project teams, with strong time-management and multi-tasking skills

Preferred qualifications, capabilities, and skills

Basic knowledge of data mining, quantitative research, and data science techniques such as decision trees, regressions, and machine learning

Financial services background

Advanced degree in a relevant quantitative field

Drive data strategy and analytics to enhance fraud and scam prevention for customer protection and satisfaction.

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