CCB Risk - Fraud Risk (Data Science) - Associate

CCB Risk - Fraud Risk (Data Science) - Associate

JP Morgan Chase & Co.
5-8 years
Not Specified

Job Description

Job Description :
The Fraud Data Science team uses advanced analytical techniques to mitigate fraud across various payment channels such as Digital Transactions including QuickPay / Quick Deposit, 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
The person will own the project end to end and mentor the junior team members on their projects by helping technically and with business aspects. He should be able to work on Innovation/R&D projects, identify the potential value of data (structured/unstructured) by pulling the data from different sources on the Big data environment, validating and preparing the data for analysis, to be able to use any ML algorithms for the purpose of analysis and deliver actionable insights by doing quick Proof of Concepts, pilots and incremental value outcomes.
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 several ongoing 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 and then work towards the target state
  • 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
  • Ability to come up with new ideas based on quick industry research and to be able to implement them
  • Collaborate across cross functional teams to knowledge share and develop broader insights into fraud and customer impacts
  • To be able to independently drive conversations with senior stakeholders
  • Communicate findings and obstacles to stakeholders to help drive the delivery to market
Qualifications & Skills Required:
  • Minimum of 5 years of related experience with prior experience as a data scientist or a related role
  • Bachelor's degree in a quantitative discipline Math, Finance, Statistics, Economics, Computer Science, Engineering, or equivalent work/training is required advanced degree is preferred
  • Expertise in theory and practice of Statistics, Empirical Data Analysis and Machine Learning
  • Experience working on Big data and solid understanding of ML concepts/algorithms experience with GPUs
  • Hands on experienced with structured/unstructured data Experience running supervised/unsupervised algorithms
  • Hands on experience and in-depth knowledge of Python, SQL, PySpark and other modern programming languages Knowledge of Scala is a strong plus
  • 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
  • Great communication skills, team player, self-starter, strong work ethic
  • Highly proficient in Microsoft Office suite of products

Job Details

Employment Types:



JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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