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10/10 American Express
Recruitment Team at American Express

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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.


#NOLI

Women-friendly workplace:

Maternity and Paternity Benefits

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