American Express

Financial Analyst

Posted On

Sept. 4, 2024

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Sept. 22, 2024

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 Team Amex and let's lead the way together.

How will you make an impact in this role?

As a Data Scientist, you will play a key role in analyzing large datasets to help drive business decisions and strategies. You will be responsible for developing and implementing statistical models, conducting data mining, and delivering insights to various stakeholders. Additionally, you will collaborate with cross-functional teams to develop innovative solutions and optimize processes. The successful candidate will have a strong background in data analysis, machine learning, and statistical modeling, coupled with a solid understanding of the Financial Services industry.

· Analyze large datasets to identify trends, patterns, and relationships for actionable insights

· Develop and implement statistical models and algorithms to solve complex business problems

· Collaborate with stakeholders to define project objectives and design experiments

· Build predictive models and conduct scenario analysis to support forecasting and decision-making processes

· Monitor and evaluate model performance, making recommendations for improvements as needed

· Conduct research and stay up-to-date with the latest trends and advancements in data science and analytics

· Present findings and recommendations to senior management and other stakeholders in a clear and concise manner

Minimum Qualifications

· 3-4+ years of experience in Analytics.

· Bachelor’s or Master’s degree relevant to the industry (other credentials will be a plus)

· Strong analytical bend and experience on analytics tools Advance Excel with VBA, Tableau, SQL, Alteryx

Preferred Qualifications

· Strong proficiency in programming languages such as JS, Python or R

· Excellent analytical and problem-solving skills, with the ability to work with complex data and generate insights

· Experience with data visualization tools such as Tableau or Power BI

· Knowledge of machine learning techniques and algorithms

· Familiarity with databases and data querying languages such as SQL

· Strong communication and collaboration skills, with the ability to explain complex concepts to non-technical stakeholders

Compliance Language

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.

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