Strategic Analytics - Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Fraud Prevention, Python, SQL, R, SAS, Machine Learning, Risk Management, Agile Methodologies, Data Visualization, Strategic Planning, Financial Analysis, Problem Solving, Communication, Project Management, Digital Payments

Industry

Financial Services

Description

Join a high-impact team at the forefront of digital fraud prevention, where your analytical expertise directly safeguards millions of customers. At JPMorgan Chase, you’ll leverage cutting-edge tools and creative thinking to outsmart fraudsters and shape the future of secure digital payments. Collaborate with talented professionals, solve complex challenges, and see your insights drive real-world results. If you thrive on intellectual curiosity and want to make a tangible difference, this is the opportunity for you. Be part of a team where your ideas and passion for problem-solving are valued and rewarded. As a Strategic Analytics - Associate in the Digital Fraud Strategy team, you will play a critical role in protecting our customers and the firm from emerging fraud threats across digital payment channels such as Zelle, bill pay, wire transfers, ACH, funds transfers, and real-time payments. You will own the end-to-end process of fraud loss management, leveraging advanced analytics, machine learning, and innovative strategies to identify trends, reduce losses, and enhance the customer experience. This role offers the opportunity to work with large, complex datasets, collaborate with cross-functional teams, and present actionable insights to senior leadership, all while developing your skills in a dynamic and fast-paced environment. Job Responsibilities * Analyze large and complex datasets to uncover trends and behaviors in digital fraud activity. * Develop and implement creative, data-driven strategies and business rules to reduce fraud losses. * Monitor fraud trends and proactively identify emerging risks and vulnerabilities. * Design and automate processes to improve the efficiency and effectiveness of fraud alert systems. * Collaborate with technical and business partners to develop and implement new fraud-fighting products using agile methodologies. * Communicate complex analytical findings and strategies clearly to both technical and non-technical audiences, including senior leadership. * Simplify and present data-driven insights in concise presentations and reports. * Work closely with cross-functional teams to address points of friction and enhance the customer experience. * Respond rapidly to emerging fraud issues and adapt strategies as needed. * Apply strong problem-solving skills to develop elegant and practical solutions to complex business challenges. * Maintain a strong understanding of P&L drivers and the financial impact of fraud strategies. Required Qualifications, Capabilities, and Skills * Minimum 2 years of professional experience in analytics, risk management, or data science. * Proven ability to analyze and interpret 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. * Strong communication skills with the ability to convey complex data and concepts clearly. * Demonstrated experience in designing and analyzing experiments. * Ability to develop concise presentations with sound business conclusions. * Strong critical thinking and intellectual curiosity. * Experience working collaboratively within teams and across functions. * Ability to manage diverse tasks and respond to rapidly changing priorities. * Passion for problem-solving and continuous improvement. Preferred Qualifications, Capabilities, and Skills * Experience in digital payments, fraud prevention, or financial services. * Familiarity with machine learning models and their application in fraud detection. * Experience with agile project management methodologies. * Strong understanding of drivers of profitability and P&L management. * Track record of developing and implementing new products or analytical solutions. * Experience with vendor and in-house data integration. * Ability to brainstorm and implement solutions to improve customer experience and reduce complaints. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Responsibilities

You will analyze complex datasets to identify fraud trends and develop data-driven strategies to mitigate losses across digital payment channels. Additionally, you will collaborate with cross-functional teams to implement fraud-fighting products and present actionable insights to senior leadership.