Manager-Data Science

4 weeks ago


Gurugram, India AMEX Full time

You Lead the Way. Weve 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, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our and powerful backing promise to provide the worlds best customer experience every day. And well 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.

The Finance Data Science & Analytics group sits within Corporate Planning & Analysis organization at American Express.We are a crew of highly trained Data scientists and Finance professionals whose vision is to be the analytical powerhouse driving growth for the enterprise by empowering smarter, profitable, real-time decisions. We work to transform the way data science credibly drives sustainable, long-term growth for the company as early adopters of next-generation technology. We re-invent forecasting, tracking and analytical processes, leveraging the latest tools and setting the standard for advanced analytics.

Our team is looking for a full-time Manager to support Finance Data Science & Analytics leadership team. This role will be based in Gurgaon, India and is a flexible hybrid role, splitting time each week between working virtually and on-site at the Amex Building.

We are looking for a high-performing, energetic colleague with a positive attitude and ability to think critically, organize flawlessly and facilitate activities in a fast-paced, dynamic, and fun environment. The ideal candidate will be flexible, able to exercise discretion and independent judgement while also having the confidence and professionalism to interact with colleagues across levels to get the job done.

Responsibilities:

Lead, engage, and inspire a team of high performing data science professionals: Develop predictive modeling that incorporates behaviors and increased level of data granularity. Use machine learning techniques to improve forecasts and produce business insights; leverage visualization and reporting tools. Partner across Finance, Risk and Business to derive strategic insights, provide thought leadership into key findings and actionable recommendations to influence business strategy. Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique.

Minimum Qualifications:

Significant hands-on experience managing/ leading projects using large amounts of data and application of advanced predictive analytics. Prior 6+ Years of Relevant/Related Work Experience with Consistent Track Record of Strong Performance Proficiency in SQL, Hive, Python, Pyspark, Machine Learning Techniques Power BI or other visualization tools experience is strongly preferred. Bachelors/Masters or PhD in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science, Economics

Skills:

Highly motivated individual with desire to work on ambiguous projects, with the ability to break down and execute on complex ideas. Be data-driven, outcome-focused and fast learner. Strong analytical, organizational, and problem-solving skills with good attention to detail Ability to influence people across all levels of the organization. Ability to explain complex mathematical concepts. Ability to solve ad-hoc business problems independently and manage multiple priorities and projects while adhering to deadlines.

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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