The Job logo

What

Where

Analyst-Risk Management

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Analyzing data to drive profitable credit business actions, innovating with big data & machine learning solutions, articulating business findings to leadership, staying updated with Finance/Payments/Analytics field developments. This is a full-time on-site opportunity with American Express in Gurgaon and Bengaluru.

Description on the role

 

Development, review and/or execution of economic logic & analytical solutions to drive profitable credit business actions.

 

Responsibilities: 

  • Understand the core business of AXP and the levers behind various decisions
  • Analyze large amounts of data to derive business insights and create innovative solutions
  • Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
  • Innovate with a focus on developing newer and better approaches using big data & machine learning solution
  • Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
  • Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

 

Minimum Qualifications

•            MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields

•            0-30 months of experience in analytics (24-48 months of experience for Sr. Analyst Req)

•                     Ability to drive project deliverables to achieve business results

•                     Ability to work effectively in a team environment

•                     Strong communication and interpersonal skills

•                     Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives

•                     Ability to Integrate with Cross-Functional Business Partners Worldwide

•            SAS, R, Python, Hive, Spark, SQL

Set alert for similar jobsAnalyst-Risk Management role in Gurgaon, India or Bengaluru, India
American Express Logo

Company

American Express

Job Posted

8 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

0-2 Years

Category

Data & Analytics

Locations

Gurgaon, Haryana, India

Bengaluru, Karnataka, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

Related Jobs

American Express Logo

TCPS Analyst

American Express

Gurgaon, Haryana, India

Posted: 5 months ago

As a TCPS Analyst at American Express in Gurgaon, Haryana, your role involves managing inbound customer and seller calls, handling claims, processing refund requests, and responding to customer escalations while ensuring compliance and delivering exceptional customer service in a 24*7, multi-lingual environment.

American Express Logo

Analyst-Data Science

American Express

Gurgaon, Haryana, India

+1 more

Posted: 3 months ago

Job Responsibilities Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes. Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives. Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions. Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development. Translate product roadmap into well defined requirements and acceptance test criteria. Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users Create POCs for best in class AI-ML innovative products with the potential to scale Minimum Qualifications Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization. Strong quantitative, analytical, and structured problem-solving skills.  Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families, optimizations considerations for ML models, deployment and serving challenges. Knowledge of Big Data Platforms such as Hadoop, Spark and Cloud Platforms such as GCP. Knowledge of designing and building big data tools and frameworks Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams  Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies.  Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow. Familiarity with product management tools such as Rally, Jira, and Confluence Excellent verbal and written communications skills Undergraduate/Master’s in Computer Science / Information Technology / Mathematics / Operations Research / Statistics, MBA from institutes of global repute. 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