Senior Associate Strategic Analytics

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
11 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $161k
$108k most similar roles pay here $212k

This listing doesn't post a salary. Most similar roles pay $133,268–$187,862.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Strategic Analytics

As a Strategic Analytics - Senior Associate on the Digital Fraud Strategy team, you will play a critical role in protecting customers from emerging fraud threats across digital payment channels like Zelle, bill pay, wire transfers, ACH, funds transfers, and real-time payments. You will manage the end-to-end process of fraud loss management by analyzing large, complex datasets to uncover trends and developing data-driven strategies and business rules to reduce losses. Your daily work involves monitoring risks, automating alert systems, and collaborating with cross-functional teams using agile methodologies to build new products. To succeed, you must utilize Python, SAS, R, or SQL, along with advanced Excel and PowerPoint skills. You will translate complex findings into actionable insights for senior leadership while applying machine learning models and experimental design to solve problems within the digital payments domain.

What you'll do

  • Analyze large, complex datasets to identify trends and behaviors in digital fraud activity.
  • Develop and implement data-driven strategies and business rules to reduce fraud losses.
  • Monitor emerging risks and proactively identify vulnerabilities across various digital payment channels.
  • Design and automate processes to improve the efficiency of fraud alert systems.
  • Collaborate with technical partners to develop new fraud-fighting products using agile methodologies.
  • Communicate complex analytical findings and actionable insights to senior leadership through concise reports.
  • Resolve points of friction to enhance the overall customer experience.
  • Respond rapidly to emerging fraud issues by adapting strategies in a fast-paced environment.

What we're looking for

  • At least 5 years of professional experience in analytics, risk management, or data science is required.
  • Proven ability to analyze large datasets and translate findings into actionable business strategies.
  • Proficiency in analytical programming languages such as Python, SAS, R, or SQL.
  • Advanced skills in Excel and PowerPoint for data analysis and presentation.
  • Demonstrated experience in designing and analyzing experiments.
  • Strong communication skills to convey complex data and concepts to both technical and non-technical audiences.
  • Experience working collaboratively within teams and across functions.
  • Ability to manage diverse tasks and respond to rapidly changing priorities.

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