Job Detail in India

Job Description

You Lead the Way. We’ve Got Your Back

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join #TeamAmex and let's lead the way together.

Job Requirements:

The Manager, Monitoring Transformation – USCS is a high-impact role that will support the expansion of an automated control testing program.

The role will understand critical business processes, conduct data analysis, and will support the development of innovative solutions for key risks for automated, near real-time risk monitoring as part of the Smart Monitoring capability.

The decision to use the right solutioning for those risks will lie with the Manager in this role and the decided solution can vary from a Machine learning based outlier identification to NLP based text contextualization algorithm to simple SQL codes aiding in potential error identifications. The role will lead outstanding development / coding strategies implementation and support deduction of relevant insights from generated algorithmic output.

To achieve program outcomes, the role will also collaborate extensively with colleagues from various teams to drive key results e.g. GRBC, Loyalty, Technology, Product Management, and Compliance.

Key activities for the role will include:

• Set the agenda by creating and implementing the best methods and standards for Analyst colleagues supporting KRI development and data exploration.
• Mentor and train new hires and early tenure team members through communicating role expectations and standards, leading job shadowing, and coordinating quality of results from new team members.
• Responsible for generating significant insights to be presented to key business partners.
• Lead exploration of complex data environments in US Consumer. Create recommendations and strategies for maximising data findings to build efficient KRIs.
• Partner with colleagues from the Risk Detection and Analytics team, Operational Excellence, capabilities owners, and product/process owners in the Consumer organization to understand testing automation needs.
• Write KRI code by using appropriate data after understanding detailed workflow of business processes, reviewing output of back-dated-testing, and refining the logic to ensure that KRIs are become more efficient continually.
• Support business partners in researching and providing mentorship on identifying “true” issues versus false positives, and closing alerts generated by KRIs.
• Identify relevant, observations, high residual-risk areas, and emerging risk themes.
• Exemplify strength in the American Express Leadership Model: Setting the agenda, bringing others with them, doing things the right way and putting organization first.

Qualifications:

• 4+ year of proven exposure in data-driven analytics preferably in E2E fashion – Coding logic formulations to business rules formulation, development and maintenance of algorithms on the associated technology / case management platform.
• Experience in financial services, risk management or self learning algorithm development preferred.
• Postgraduate degree or equivalent experience in statistics/Mathematics/Economics/Engineering/Management preferred.
• Knowledge of risk management and key credit risk / operational risk metrics

Proficient in:

• Identifying root cause of the problems / potential solution opportunities at hand.
• Gather information on process flow, data, system, and related losses / events.
• Use data analytics to identify root cause (if applicable) and size the opportunities / problems (if applicable) .
• Be able to solve business problems in complex and unstructured environment.
• Teammate with strong communication and ability to develop relationships with colleagues.
• Self-motivated with the ability to operate independently and balance multiple workstreams and ad-hoc tasks simultaneously.
• Experienced in compiling information and developing explanatory materials for leadership presentation.
• Applied Skills and Platform Knowledge:
• Expertise in ML algorithm development, Text-Analytics, SQL and / or Python
• Knowledge of LUMY/Cornerstone/Statistical Techniques preferred.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Skills Required