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Data Science and NLP Lead

10.00 to 11.00 Years   Bangalore   14 Dec, 2019
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

About us Commercial Banking is a core business unit focused on Commercial Lending within the JP Morgan Chase group. The group is focused on an innovative journey to create a stealth mode division building a platform for the commercial Banking clients. The platform delivers a one stop shop for the commercial banking clients through AI-driven technologies and best-in class User Experience. The platform will also integrate with other business process related to commercial banking. We are looking out for creative entrepreneurs with high end user focus and who enjoy building large scale systems in the area of FIN tech/Prop tech. This is a unique opportunity to join a fast-paced internal startup team with the resources and support of the nation s largest bank. The unit is based in Palo Alto and Bangalore. This position is for hiring in Bangalore, India. About the role The Data Scientist will drive the design and development of key artificial intelligence (AI) components of the JP Morgan Chase Commercial Real Estate platform including named entity recognition in natural language text, classifying business process actions from unstructured data, sequence mining actions into business process models and risk/conformance modeling. Responsibilities As a Data Scientist of an agile platforms group, the successful candidate will be leading thedevelopment of key aspects of JP Morgan Chase Commercial Real Estate product:

  • Data mining using state-of-the-art methods
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Extending company s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Creating automated anomaly detection systems and constant tracking of its performance
About you The successful candidate will have experience in working in innovative projects with fast-paceddelivery schedules in startups & large enterprises:
  • Proven track record of analyzing large-scale complex data sets, modeling and machine learning algorithms
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Python (NumPy, SciPy, Pandas ) , Matlab
  • Experience in deep learning frameworks (e.g., Tensorflow, MxNet), and Large-scale optimization preferred.
  • Experience with NLP toolkits such as NLTK, OpenNLP, Stanford CoreNLP etc.
  • Proficiency in using query languages such as SQL
  • Experience with NoSQL databases, such as MongoDB, Cassandra
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • 5 10 years of experience in Applied Machine learning
  • Educational background in a relevant field (Computer Science, Applied Math, Statistics)
,

Keyskills :
commercial real estatedata science deep learningdata collection machine learningbusiness process

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