American Express

Senior Analyst-Data Science

American Express Gurgaon, Haryana, India

Financial Services · 10,001+ employees

7 h ago Closes in 7d
Mid (2-5 yrs) Full-time India
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About the role

Develop, refine, and implement machine learning models for the Fraud Risk Decision Sciences domain. Collaborate with stakeholders to align analytical efforts with business objectives and conduct case reviews to generate actionable insights.

What they look for

Machine Learning Python Hive PySpark Deep Learning AI algorithms Google Cloud Data analysis Data preprocessing Fraud risk modeling Statistical modeling Communication Presentation skills Stakeholder management Analytical skills

Requirements

Requires a graduate or postgraduate degree in a quantitative field and at least 2 years of relevant experience in analytical or modeling roles. Proficiency in Python, Hive, PySpark, and advanced machine learning techniques is essential.

Benefits

Competitive base salaries Bonus incentives Financial well-being and retirement support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model Paid parental leave On-site wellness centers Healthy Minds counseling support Career development and training

Full description

Fraud, CBO, Payments and Agentic Risk Decision Science Team of American Express is looking for a tenured Analyst or Sr. Analyst who would be actively involved in developing, refining and implementing ML models for Fraud Risk Decision Sciences domain.

Responsibilities

Responsible for:

  • Leverage advanced ML techniques to innovate for the next generation of models and drive business growth
  • Conduct case reviews to generate insights for improving the model performance and decision-making processes
  • Collaborate with relevant stakeholders to ensure alignment of analytical and modeling efforts with business objectives, effectively managing stakeholder expectations and communication throughout the project lifecycle
  • Bring in ideas by incorporating external perspectives through reading research papers and identify appropriate use cases to enhance model development and innovation.

Qualifications

Minimum Qualifications

  • Graduate/Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from a reputed institute.
  • 2+ years relevant CFR experience in Analytical/Modelling Skills
  • Proficiency in data analysis and programming languages such as Python, Hive, PySpark.
  • Strong coding skills and hand-on experience with advanced Machine Learning, Deep Learning, AI algorithms
  • Familiarity with cloud computing platforms like Google Cloud for model training.
  • Experience in handling large datasets and implementing data preprocessing techniques
  • Excellent communication and presentation skills, with the ability to translate business problems into technical solutions and explain complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities

Preferred Qualifications

  • Knowledge of Amex platforms is preferred
  • Experience in building and deploying models
  • Experience in working with Agents and associated risks

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • 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.