JOB OVERVIEW
We are looking for data scientists to support market trading and risk management analytics solutions. We are about getting it done and owning what you do. We treat our people equally, fairly and give them the freedom and autonomy to create something awesome. We make mistakes, we learn from them and we back everything up with data and logic. We are on the hunt for exceptional talent who are intellectually curious, analytical, impact-driven, persistent, and not shy about sharing their opinions and recommendations.
WHAT YOULL BE DOING
- Design predictive customer models that enable the business to drive algorithmic approach to trading in securities, pricing and risk management
- Deliver real impact to the product through rigorous data-driven solutions
- Research and build scalable models with or without machine learning
- Collaborate to enhance data infrastructure and build a seamless research platform
- Use descriptive statistics and advanced analytics to enable understanding of behaviors and patterns within data.




- Transforms formulated problems into implementation plans for experiments.
WHAT SKILLS YOU LL NEED
- Bachelors/MS in Statistics, Economics or Computer Science
- 3+ years of experience in data sciences, research or business roles
- High proficiency with SQL, experience with R, SAS or Python highly preferred
- Deep understanding of fundamentals of probability and statistics
- Experience with different techniques including clustering, ML algorithms, decision tree, random forest and experimental design applied to real world problems.
- Preferred - Numpy, Pandas, GCP
BENEFITS
- Work in open and inclusive culture, with integrated flex working
- Competitive advantages
- Excelllent Work place benefits

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist (New Delhi)
🏢 Corestrat Labs
📍 New Delhi