BNY Mellon | is Hiring | Prin, Data Scientist | BigDataKB.com | 2022-04-05

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Job Location: Pune

Overview of the Role :

  • In this role, the individual will work closely with Product and Business teams in analyzing business processes, requirements, workflows, client experience needs, user journeys and primarily data gleaning information and insights with the goal of helping make business decisions.
  • The team and the role are extremely data centric and therefore requires strong SQL and intermediate programming skills to g ather and analyze information and develop recommendations to address strategic business objectives that span multiple, global business and technology areas.
  • As a member of the team, you will create meaningful stories focused on deep insights, and will be fluent across various technologies and tools relevant for quantitative decision-making.
  • You will be responsible for working with vast amounts of financial data to derive insights and make predictions about our clients and the markets in which they operate.
  • Your primary focus will be in mining and preparing data, performing statistical analysis, implementing machine learning algorithms, and productionalizing your models to integrate with our existing systems & products.
  • In addition to working with the rest of our technology team, you will work with our business team to derive and select use-cases best suited for machine learning solutions based on client demand and market inefficiencies.

Skills and Qualifications

  • Senior finance professional in quantitative discipline with expertise in machine-learning.
  • Proven track record of applying machine- and deep-learning frameworks to practical business challenges in capital markets.
  • Excellent knowledge of capital markets, products and concepts with a focus on fixed income products, money markets, and quantitative methods.
  • Fluency in Python, SQL, Git. Proficiency in deep learning frameworks like tensorflow / keras.
  • Familiarity with Google Cloud ecosystem, Bloomberg ecosystem, QuantLib are a plus.
  • Team player, innovator, out of the box thinker.
  • Master s degree or PhD (Computer Science, Math, Physics, Engineering)
  • At least 10 years of relevant work experience
  • Applied Machine Learning experience – modeling and implementation
  • Thorough understanding of various statistical and machine learning algorithms
  • Proficient in Python with open source libraries such as TensorFlow and data engineering pipelines such as Apache Spark
  • Excellent analytical and big-data skills
  • Academic/Research background, a plus
  • Previous experience at next-gen analytics or big-data fintech companies strongly preferrece

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