American Express is hiring for Analyst – Data Analytics/ Data Science |  Apply Now!

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American Express is hiring for the position of Analyst – Data Analytics/ Data Science in Gurgaon, India. Candidates with a Bachelor’s or Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.

Job Description:

Company NameAmerican Express
PositionAnalyst – Data Analytics/ Data Science
QualificationsBachelor’s/ Master’s Degree
Batch2018/ 2019/ 2020/ 2021/ 2022/ 2023/ 2024
Experience0 – 3 (Years)
LocationGurgaon, India (Hybrid)

Key Responsibilities for Analyst – Data Analytics:

  • Explore and identify relevant datasets, employing exploratory mathematics and statistical techniques for analysis.
  • Develop procedures to efficiently manipulate large datasets to expedite analysis processes.
  • Construct scalable Proof of Concepts (POCs) or Minimum Viable Products (MVPs) based on Machine Learning in alignment with the Product Vision and roadmap.
  • Prototype solutions for various use cases, integrating feedback to enhance analysis or Machine Learning models.
  • Demonstrate adaptability in fast-paced environments.
  • Engage with multiple stakeholders and partners to ensure alignment and delivery of key milestones.
  • Provide regular status updates to the leadership team, actively addressing and resolving issues, facilitating decision-making, and identifying interdependencies across workstreams.
  • Foster innovation by gathering ideas and exploring opportunities to enhance capabilities, collaborating with stakeholders across the enterprise.
  • Comprehend business objectives, refine technical requirements, and collaborate with Technology teams for effective implementation.
  • Actively participate in project team meetings, communicating efficiently with peers, architects, system analysts, project managers, and other relevant stakeholders, while reporting project status as necessary.

Key Responsibilities for Analyst – Data Science:

  1. Provide fraud prevention solutions to Accertify’s clients.
  2. Gain insight into the primary drivers and behaviors associated with different forms of fraud.
  3. Stay informed about the latest trends and challenges in fraud prevention within the industry and among Accertify’s clients.
  4. Foster modeling innovation: Create and refine models using cutting-edge machine learning and AI techniques.
  5. Enhance data science practices: Engage in Feature Engineering with client data from various global industries to enhance model accuracy and economic performance beyond the existing framework.
  6. Collaborate with multiple colleagues at Accertify to implement models and develop capabilities that optimize decision-making processes and drive revenue growth.

Eligibility Criteria:

  • Possess a Bachelor’s or Advanced degree in engineering, data science, computer science, information technology, information management, statistics, or related disciplines.
  • For postgraduate qualifications, candidates with degrees in Statistics, Mathematics, Economics, Engineering, or Management are preferred.
  • Have 0-3 years of applicable experience in the Analytics, Modeling, or Decision Science domain.

Preferred skills:

  • Familiarity with modeling design practices and experience with Machine Learning/AI data products is advantageous.
  • Exposure to Product-Oriented roles is considered beneficial.
  • Possess strong quantitative skills, showcasing the capability to lead and conduct analyses effectively.
  • Ability to interpret and leverage a diverse range of apparently unstructured data attributes.

About Company:

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.

How To Apply?

  • First, read through all of the job details on this page.
  • Scroll down and press the Click Here button.
  • To be redirected to the official website, click on the apply link.
  • Fill the details with the information provided.
  • Before submitting the application, cross-check the information you’ve provided.

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