American Express Freshers Hiring As Analyst Data Science For BE/BTech/ME/MTech/MCA

American Express Freshers Hiring Details:

About Company:

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.

Official Website : www.americanexpress.com

Job Profile: Analyst Data Science

Degree Required: MBA, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute

Batch: Recent Batches

Experience: Freshers

Salary: ₹ 4 to 7 LPA (Expected)

Work Location: Gurgaon

Purpose of the Role:

The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models.  This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.

The specific responsibilities include:

• Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
• Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
• Conduct research to explore opportunities to elevate model excellence and drive business impact
• Communicating results to partners, senior leadership and various model committees

Critical Factors to Success:

1.Business Outcomes:

• Effectively challenge the conceptual soundness , theory and approach, purpose/usages of predictive models
• Maximize business returns by institutionalizing efficient and accurate models.
• Innovate modeling techniques and variable creation
• Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning

2. Leadership Outcomes:

• Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
• Demonstrate learning agility, make decisions quickly and with the highest level of integrity

Lead with a digital mindset and deliver the world’s best customer experiences every day

Past Experience:

• 0-4 years experience in analytics or big data workstreams
• Academic Background:
• MBA, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute

Functional Skills/Capabilities:

• Hands-on model development or validation experience.
• Strong Analytical and Relationship and project management skills for driving validation initiatives.
• Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
• Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
• Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
• Effectively communicating complex Analytical results to Business Partners and Senior Management.
• Flexibility and Adaptability to Work Within tight deadlines and changing priorities.

Technical Skills/Capabilities:

Experience with atleast one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have. Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Teachniques – active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms

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.

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Note: Shortlisted candidates will receive an email/call for the further interview process.