17 Nov

Asscociate Fraud Data Science Jobs Vacancy in Morgan Chase Mumbai

Asscociate Fraud Data Science
Morgan Chase
Mumbai MH
17 Nov, 2018 30+ days ago

Morgan Chase Mumbai urgently required following position for Asscociate Fraud Data Science. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Asscociate Fraud Data Science Jobs Vacancy in Morgan Chase Mumbai Jobs Details:

The Fraud Data Science team uses advanced analytical techniques to mitigate fraud across various payment channels such as Digital Transactions including QuickPay / QuickDeposit, Credit Card, Debit Card and Checks. The team works closely with business analysts, product owner and operations to find tangible opportunities to prevent fraud, enhance customer experience and provide insights which will allow assessing the risk of portfolio in several dimensions. The person will need to work on complex problems using Big Data, and Machine Learning. Develop analytical strategies that can significantly change how fraud is managed and set the path for future


Partner with various strategy, product, and operational teams to drive multiple analyses on fraud risk across different products. Will help build a foundation of state-of-the-art technical and scientific capabilities to support a number of on-going and planned data analytics projects:
  • Build an in-depth understanding of the problem domain and available data assets
  • Proactively seeks, finds and recommends opportunities to improve underlying processes.
  • Use of advanced analytical tools and platforms (including Hadoop) to drive multiple analytical proof of concepts
  • Research, design, implement, and evaluate machine learning approaches and models
  • Perform ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to “big data”
  • Investigate data visualization and summarization techniques for conveying key findings
  • Provides accurate and concise results and presents findings, recommendations and presentations to Management.
  • Collaborate across cross functional teams to knowledge share and develop broader insights into fraud and customer impacts
  • Communicate findings and obstacles to stakeholders to help drive the delivery to market
Qualifications & Skills Required:
  • Minimum of 4 years of related analytical experience with prior experience as a data scientist or a related analytical role
  • Bachelor's degree in a quantitative discipline; Math, Finance, Statistics, Economics Engineering or equivalent work/training is required; advanced degree is preferred
  • Expertise in theory and practice of Statistics, Empirical Data Analysis and Machine Learning; Thorough understanding of probability and statistics, Bayesian methods, time series analysis etc
  • Experience and in-depth knowledge of Python and other modern programming languages; Knowledge of Python’s data analysis and machine learning libraries a strong plus
  • Experience in at least one specialized statistical computing environment, preferably R
  • Experience in practical data processing, data mining, text mining and information retrieval tasks
  • Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals
  • Desire to use modern technologies as a disruptive influence within the Banking domain
  • Highly proficient in Microsoft Office suite of products

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