Recruiter Logo
Now Apply on the Go!
Download hirist Jobseeker App and get a seamless experience for your job-hunting
10/10 American Express
Recruitment Team at American Express

Views:708 Applications:141 Rec. Actions:Recruiter Actions:0

American Express - Analyst - Risk Management II (0-3 yrs)

Gurgaon/Gurugram Job Code: 502263

Function Description : Customer Data Science

Purpose of the Role :

- Customer marketing vision is to deliver the most relevant content to the right customer at the right time through their preferred channel(s) of choice.

- The Organic Growth team within Enterprise Digital & Analytics(EDA) is focused on developing, innovating and integrating, information-driven marketing strategy globally.

- The team's focus is on driving customer acquisitions by giving treatments to our existing customer base like upgrades, cross-sells and family cards (supplementary) which have proven to increase engagement, deepen the relationship and thereby give incremental revenue.

- The team works at developing the economic estimate of such treatments through predictive modeling which can be utilized in future ROI based investments. The team also designs a personalized and timely curriculum to deliver to the customer across various customer life stages such as early tenure, organic, pre attrition and retention through advanced data science techniques.

- The role requires exhibiting a high level of expertise in guiding the data strategy through statistical analysis, decision support logic and data techniques.

- This is an exciting opportunity for someone to step into a very challenging role. He/She will drive improvements in generating data-driven actionable strategies to enable business growth initiatives.

Responsibilities : Key focus areas will include :

- Development of analytical infrastructure to improve the relevance of customer marketing by identifying the right offers for each cardmember

- Leverage the power of closed-loop through Amex network to make offer targeting more intelligent and relevant

- Innovation with a focus on developing newer and better approaches using big data & machine learning solutions.

- The individual is expected to create a holistic recommendation by pulling data from different data sources and make effective and persuasive presentations for project teams and business leaders. He/She will work directly with central marketing teams to drive the above strategies.

Critical Factors to Success :

A) Business Outcomes :

- Build cutting edge and customized Machine Learning /AI algorithms to enhance modeling accuracy and efficiency

- Innovate modeling techniques and variable creation to solve business problems

- Support analytics across the lifecycle from pre-sales to attrition

B) Leadership Outcomes :

- Put enterprise thinking first, connect the role- s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.

- Lead with an external perspective, challenge the status quo and bring continuous innovation to our existing offerings

- Demonstrate learning agility, make decisions quickly and with the highest level of integrity

- Lead with a digital mindset and deliver the world- s best customer experiences every day

Qualifications :

A) Past Experience : 0-3 years of relevant experience.

B) Preference : Prior experience in online commerce analytics/marketing. Experience of analysis/modeling of digital data is a plus

C) Academic Background :

- Bachelor's in Statistics/Mathematics/Economics/Engineering with relevant experience

- Post Graduate in Statistics/Mathematics/Economics/Engineering/Management

Functional Skills/Capabilities :

(I) Data Science/Machine Learning/Artificial Intelligence :

- Expertise in Coding, Algorithm.

- Unsupervised and supervised techniques : active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map Reduce techniques

(II) Analytics & Insights & Targeting :

- R, Python, C, C++, Java, SAS SQL

- HIVE, Pyspark

- Advanced Statistical Techniques: Gini, Concordance, F-Score

(III) Digital Product Management :

- A/B testing

- Multivariate (MVT) testing

(IV) Preferred :

- Deep Learning

- Knowledge of Digital Channels & Products

- Expertise in High-Performance Computing

Technical Skills/Capabilities :

A) Knowledge of Platforms :

- Hadoop

- Big Data-Cornerstone

B) Preferred :

- Visual Basic Applications

Behavioral Skills/Capabilities : Enterprise Leadership Behaviors :

- Set The Agenda : Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective

- Bring Others With You : Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential

- Do It The Right Way : Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

The Apply Button will redirect you to the website. Please apply there as well.


Women-friendly workplace:

Maternity and Paternity Benefits

Add a note
Something suspicious? Report this job posting.