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Senior Software Developer (Quantitative Solutions) - Remote

Posted Yesterday
Software Development
Full Time
India

Overview

The Senior Software Developer will be responsible for development of CFRA’s next generation of quantitative solutions using a modern cloud-native technology stack with Python on AWS cloud infrastructure.

In Short

  • Lead the design and development of quantitative data engineering models.
  • Develop and maintain data processing pipelines.
  • Design and implement algorithms for data analysis and machine learning.
  • Identify and implement optimizations for performance improvement.
  • Create visualizations of data and model outputs.
  • Implement data quality checks and validation processes.
  • Evaluate the performance of data engineering models.
  • Collaborate with data scientists and business stakeholders.
  • Document the design and implementation of data models.
  • Stay updated with the latest trends in data engineering.

Requirements

  • Proficiency in programming languages like Python, R, Java, or Scala.
  • Familiarity with big data technologies like Hadoop and Apache Kafka.
  • Experience in data visualization tools like Matplotlib or Tableau.
  • Familiarity with machine learning frameworks such as PyTorch.
  • Experience with cloud computing platforms like AWS.
  • Strong software development skills and version control experience.
  • Excellent problem-solving skills.
  • Strong communication and collaboration skills.
  • Domain knowledge in finance, healthcare, or marketing.
  • Commitment to continuous learning.

Benefits

  • 21 days of Annual Vacation
  • 8 sick days
  • 6 casual days
  • 1 paid Volunteer Day
  • Medical, Accidental & Term Life Insurance
  • Telehealth, OPD
  • Competitive pay
  • Annual Performance Bonus
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CFRA

CFRA is a leading global independent financial insights and information company that specializes in providing data-driven solutions to help businesses make informed decisions. With a focus on innovation, CFRA leverages modern cloud-native technology stacks and advanced data science techniques to develop robust data processing software. The company values collaboration and aims to create a significant impact through its technology-driven approach, ensuring that its teams are equipped to address complex business challenges effectively.

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