Senior Quantitative Analytics Specialist - Data Strat
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand plus Bengaluru metro and mid-level role increases competition for qualified quant ML candidates.
Requires quantitative finance and ML expertise, limiting cross-industry transferability.
Explicit 4+ years requirement plus mandatory ML/Python/Java and CI/CD skills create stringent screening filters.
Job Description
Structured overview of role & requirementsAbout This Role
Quantify, analyze, and manage market risks using advanced statistical and machine learning techniques.
Design, build, maintain, and scale end-to-end machine learning workflows, including Agentic AI automation frameworks.
Own full project lifecycle from requirements gathering to stakeholder delivery within an Agile environment.
Minimum Requirements
4+ years of quantitative analytics experience or equivalent through education or training.
Bachelor's degree or higher in quantitative disciplines like mathematics, statistics, engineering, physics, economics, computer science, or related fields.
Strong hands-on experience in Python and working knowledge of Java, including advanced programming libraries and concepts.
Experience with Agile software development practices and enterprise software development including CI/CD tools like Jenkins, Docker, Kubernetes.
Ideal Candidate Profile
Experienced in developing and implementing machine learning models for financial or market data analytics.
Skilled in complex data transformation, analysis, and visualization using Python libraries (NumPy, Pandas, Scikit-learn) and Java.
Proficient in building enterprise-scale software solutions and working across teams to deliver data-driven insights and automation enhancements.