American Express is hiring for an fresher entry level Analyst - Data Science role in India

Position: Analyst-Data Science

Company: American Express

Location: Gurugram, Haryana, India

Job type: Full-time

Job mode: Hybrid

Job requisition id: 25007804

Years of experience: 0-4 years

Company Description

• American Express stands as a globally recognized and respected financial institution, empowering individuals and businesses worldwide to achieve their aspirations. With a rich heritage of innovation and a steadfast commitment to its diverse community of colleagues, American Express fosters an environment where collaboration and mutual support thrive. Every member of the team plays a vital role in upholding the company's promise to its customers, communities, and each other. The organization prides itself on nurturing professional journeys that are both unique and meaningful, offering a comprehensive suite of benefits, programs, and flexible work arrangements designed to support the personal and professional well-being of its employees.
• At American Express, individual contributions, leadership qualities, and the impact made by each colleague are not only recognized but also celebrated. The company firmly believes in shared success, encouraging teamwork and a collective dedication to its core values. These values underpin a powerful backing promise aimed at delivering the world's finest customer experience on a daily basis. Integrity is paramount in all endeavors, and the company is deeply committed to cultivating an inclusive environment where every individual feels valued, heard, and a true sense of belonging.
• Joining the American Express team means becoming part of a forward-thinking organization that is constantly adapting and innovating to meet the evolving needs of its customers and the global marketplace. The company's dedication to excellence extends beyond its service offerings to its internal culture, where employee growth and development are actively encouraged. By providing ample opportunities for learning and advancement, American Express ensures that its employees can build fulfilling and impactful careers. The emphasis on work-life balance, coupled with comprehensive support systems, further solidifies American Express as an employer of choice for those seeking a dynamic and rewarding professional experience.

Profile Overview:

• The Analyst-Data Science role within the Model Risk Management Group (MRMG), a crucial part of the Global Risk Banking and Compliance Group at American Express, presents an exciting opportunity for a highly motivated individual to contribute to the independent risk management of the company's sophisticated models. This role specifically focuses on the rapidly evolving landscape of Artificial Intelligence (AI) and Machine Learning (ML) based models, which are increasingly integral to various aspects of the business.
• The successful candidate will be at the forefront of ensuring the integrity and reliability of these next-generation models. This involves a comprehensive understanding of the model lifecycle, from development and implementation to ongoing monitoring and validation. The analyst will play a key role in identifying potential risks associated with these models and in developing and implementing robust controls to mitigate these risks effectively. This proactive approach is essential for safeguarding the company's financial stability and reputation.
• This position demands a strong analytical mindset, coupled with a keen interest in the intricacies of AI and ML technologies. The analyst will be expected to stay abreast of the latest advancements in the field, as well as evolving regulatory expectations related to model risk management. The ability to conduct thorough gap assessments, contribute to the establishment of a strong model risk framework, and communicate complex findings to diverse audiences, including senior leadership, is critical for success in this role.
• Furthermore, the analyst will be involved in cutting-edge research within the realm of AI/ML. This research will be geared towards identifying opportunities for enhancing model excellence, addressing regulatory requirements proactively, and ultimately driving positive business impact. The role offers a unique blend of technical challenges and strategic thinking, providing an excellent platform for professional growth and development within a leading global organization. The ability to collaborate effectively with cross-functional teams will also be paramount in driving validation initiatives and ensuring the successful execution of projects.

Qualifications:

• Candidates for the Analyst-Data Science position should possess a solid academic foundation, typically including an MBA or a Master's Degree in Economics, Statistics, or a closely related quantitative field. Graduation from a top-tier academic institution is highly preferred, indicating a strong aptitude for rigorous analytical thinking and problem-solving.
• The ideal candidate will bring 0 to 4 years of practical experience in analytics or within big data workstreams. This experience should ideally include hands-on involvement in model development or validation activities, demonstrating a foundational understanding of the principles and practices of building and assessing analytical models.
• A strong command of analytical techniques is essential, along with demonstrated skills in relationship building and project management. The ability to effectively drive validation initiatives requires a proactive approach, meticulous attention to detail, and the capacity to collaborate seamlessly with various stakeholders.
• Experience in applying advanced statistical and/or quantitative methodologies to address complex business challenges is a significant advantage. This could include familiarity with a range of techniques such as regression analysis, time series forecasting, machine learning algorithms, and statistical inference.
• Excellent verbal, written, and interpersonal communication skills are paramount. The role requires the ability to articulate complex analytical findings clearly and concisely to both technical and non-technical audiences, including business partners and senior management. The capacity to work effectively within a team environment and collaborate across different functional groups is also crucial for success.
• Furthermore, candidates should exhibit flexibility and adaptability to thrive in a dynamic environment characterized by tight deadlines and evolving priorities. A proactive attitude towards learning and a willingness to embrace new challenges are highly valued.
• From a technical standpoint, proficiency in at least one of the commonly used data manipulation tools such as R, Python, SQL, and SAS is a mandatory requirement. This hands-on technical capability is essential for conducting data analysis, model development, and validation tasks effectively.

Additional Info:

• American Express is deeply committed to the holistic well-being of its colleagues and their families, offering a comprehensive suite of benefits and programs designed to support their physical, financial, and mental health throughout every stage of life. This commitment underscores the company's belief in fostering a supportive and caring work environment.
• The compensation package includes competitive base salaries and performance-based bonus incentives, recognizing and rewarding the contributions of its employees. Additionally, the company provides robust support for financial well-being and retirement planning, helping employees secure their future.
• Comprehensive medical, dental, and vision insurance plans, along with life insurance and disability benefits, are offered to ensure the health and security of employees and their loved ones. The specific details of these benefits may vary depending on the employee's location.
• Recognizing the evolving nature of work, American Express offers a flexible working model, with hybrid, onsite, or virtual arrangements available depending on the specific role and business needs. This flexibility allows employees to better integrate their professional and personal lives.
• The company provides generous paid parental leave policies, acknowledging the importance of family and supporting employees during significant life events. The duration and specifics of these policies may vary based on location.
• In select locations, employees have free access to on-site wellness centers staffed with nurses and doctors, promoting physical health and well-being. Furthermore, the Healthy Minds program offers free and confidential counseling support, emphasizing the company's commitment to mental health.
• American Express places a strong emphasis on career development and training opportunities, providing employees with the resources and support they need to grow professionally and advance their careers within the organization. This investment in employee development reflects the company's commitment to fostering a culture of continuous learning.
• As an equal opportunity employer, American Express is steadfast in its commitment to diversity and inclusion. Employment decisions are made 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. This principle ensures a fair and equitable workplace for all.
• Please note that any offer of employment with American Express is contingent upon the successful completion of a background verification check, in accordance with applicable laws and regulations. This standard procedure ensures the safety and security of the workplace and its stakeholders.

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