American Express has announced a job opportunity for an analyst data in Science. The salary will be provided at American Express is approx ₹1,31,000/- per month. Candidates wishing to apply for this Recruitment link are provided at the end of the article.
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About American Express
American Express Company (Amex) is an American bank holding company and multinational financial services corporation that specializes in payment cards. It is headquartered at 200 Vesey Street, also known as American Express Tower, in the Battery Park City neighborhood of Lower Manhattan. AMEX cards are primarily categorized in the order of Green, Gold, Platinum, and Black (Centurion), with a higher rank indicating a higher priority level.
American Recruitment 2023 Overview
| Role | Analyst-Data Science |
| Job Type | Private |
| Qualification | Any Graduate |
| Salary | Approx ₹1,31,000 – ₹ 1,35,000/- per month |
| last date | ASAP |
American Express Job description
- Accertify is a wholly owned subsidiary of American Express and a leading provider of fraud prevention, chargeback management, and payment gateway solutions to online merchants spanning diverse industries worldwide
- As part of the Accertify Fraud Decision Sciences team in CFR, the incumbent will be primarily responsible for building and providing industry-leading Decision Science Solutions and Data Products for Accertify clients
- Successful solutions will improve the efficiency of Accertify fraud solutions to merchants – more automatic decisions and fewer manual reviews – while maintaining or improving fraud prevention and opening new revenue streams
American Express Key Responsibilities
- Provide fraud prevention solutions for Accertify’s clients.
- Understand the primary drivers and behaviors associated with various types of fraud.
- Stay informed about the latest trends and challenges in fraud within the industry and among Accertify clients.
- Innovate in modeling by developing new models and improving existing ones using cutting-edge machine learning and AI techniques.
- Enhance data science by performing feature engineering with client data from diverse industries globally to enhance risk discrimination models and improve economic outcomes beyond the current framework.
- Collaborate with multiple Accertify colleagues to implement models and build capabilities that optimize decisions and drive revenue.
Critical Factors to Success
- Business Outcomes: Foster revenue growth and profitability by leveraging advanced analytical techniques; pioneer innovative approaches in modeling techniques and variable creation.
- Leadership Outcomes: Prioritize enterprise thinking by aligning role agendas with enterprise priorities and harmonizing the requirements of customers, partners, and colleagues.
- Lead with an external perspective by challenging the status quo and introducing continuous innovation to our current offerings while remaining vigilant about industry and competition.
- Forge the Best Team: Cultivate and elevate teams’ ML/AI skills, data expertise, and consulting proficiency.
- Exhibit Learning Agility: Make prompt decisions with the utmost integrity.
Minimum Qualifications
- 0-3 years of pertinent experience in the Analytics/Modelling/Decision Science field.
- Hold a postgraduate degree in Statistics/Mathematics/Economics/Engineering/Management.
- Proficient in Data Science/Machine Learning/Artificial Intelligence, including Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees, etc.
- Familiarity with Advanced Statistical Techniques and key model performance metrics such as Data Correlation, AUC/GINI, Precision, and Recall.
- Skilled in R, Python, PySpark, SAS, and SQL, as well as Advanced Excel and PowerPoint.
Behavioral Skills/Capabilities
- Define the Direction – Proficient in quantitative analysis, showcasing leadership in analytical tasks.
- Navigate Complexity – adept at extracting insights from diverse and seemingly unorganized data elements.
- Foster Collaboration – Cultivating trust and strong partnerships while influencing peers effectively.
- Achieve Outcomes – Meticulous attention to detail, delivering high-quality results across multiple concurrent projects in fast-paced settings.
- Promote Transparent Communication – Regular, open, and clear communication.
- Expedite Decision-Making with Precision.
We support our colleagues and their loved ones by offering a range of benefits and programs that cater to their overall well-being. This commitment extends to their physical, financial, and mental health across various life stages. Our offerings encompass:
- Competitive base salaries
- Bonus incentives
- Financial well-being and retirement support
- Comprehensive medical, dental, vision, life insurance, and disability benefits (based on location)
- Flexible working models, including hybrid, onsite, or virtual arrangements tailored to roles and business needs
- Generous paid parental leave policies (location-dependent)
- Free access to global on-site wellness centers with dedicated nurses and doctors (location-dependent)
- Confidential counseling support through our Healthy Minds program
- Career development and training opportunities
This demonstrates our commitment to fostering a holistic and supportive environment for our team members and their families.
Key Skills
- Career development
- data science
- Finance
- Analytical
- Artificial Intelligence
- Consulting
- Machine learning
- Wellness
- Advanced Excel
- Analytics