Senior Software Developer (Quantitative Solutions)
CFRA Research (company site, opens in a new tab)RemoteDirect career pageEst. 20–30 LPA
Posted on 8 Sept
Reach people at CFRA Research
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at CFRA Research you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and development of quantitative data engineering models and algorithms using Python on AWS cloud infrastructure.
- Develop and maintain robust data processing pipelines and ensure data quality, scalability, and efficiency.
- Collaborate with cross-functional teams to deliver customer-facing quantitative solutions and document design and results for transparency.
Minimum Requirements
- Proficiency in Python and experience with cloud computing platforms, specifically AWS.
- Strong background in data engineering and quantitative analysis, including statistical modeling and machine learning.
- Experience with big data technologies such as Apache Spark, Kafka, or Hadoop and data visualization tools.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building scalable, cloud-native quantitative data engineering solutions in a financial or data analytics environment.
- Comfortable leading model development and collaborating closely with data scientists and business stakeholders.
- Demonstrates strong technical abilities in software development, performance optimization, and continuous learning in relevant quantitative technologies.