Senior Principal Quantitative Analyst

Morningstar

10 - 15 years

20 - 25 Lacs

mumbai

Posted:2 weeks ago| Platform:

Apply

Skills Required

automation sas process improvement analytical asset management business intelligence forecasting financial services analytics sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead the design, implementation, and enhancement of quantitative data quality frameworks , encompassing statistical validation and anomaly detection.
Develop AI/ML-driven predictive quality checks , enabling proactive data error prevention and model trustworthiness.
Apply advanced statistical methodologies linear/non-linear modeling, time series analysis, and Bayesian inference to detect quality drifts and signal inconsistencies.
Collaborate with quantitative researchers, data scientists, and engineers to ensure data readiness for quantitative models and investment algorithms.
Create automated, scalable, and auditable data validation pipelines , supporting real-time data monitoring and exception reporting.
Partner with stakeholders to uphold data governance, privacy, and regulatory compliance standards (MiFID, ESMA, SEC).
Mentor and guide junior analysts, fostering a culture of excellence, continuous learning, and innovation in quantitative analysis.
Communicate complex data quality insights and statistical findings in simple terms to senior leadership and non-technical stakeholders.
Drive innovation through automation, reproducible modeling pipelines , and deployment of ML-based data correction systems.
Contribute to the modernization of Morningstar s data architecture by integrating data observability, telemetry, and metadata-driven quality measures.

Requirements

Strong foundation in quantitative finance, econometrics, and applied statistics .
Deep understanding of financial instruments, fund structures, and performance modeling .
Proven ability to work with large-scale, structured and unstructured data.
Excellent analytical, problem-solving, and statistical reasoning skills.
Strong stakeholder management, communication, and presentation skills.
Ability to work in a cross-functional, fast-paced environment , and lead through influence.

Desired Candidate Profile

Master s degree in Statistics, Mathematics, Financial Engineering, Data Science, or Quantitative Finance .
Professional certifications such as CFA, FRM, CQF, or Six Sigma Black Belt preferred.
10+ years of experience in quantitative analytics, model validation, or data quality engineering within financial services, asset management, or fintech.
Expertise in Python, R, SQL , and familiarity with tools such as MATLAB, SAS, or TensorFlow .
Experience in AWS ecosystem (S3, RDS, Glue, Athena) and modern data quality platforms.
Hands-on experience with AI/ML frameworks (scikit-learn, PyTorch, TensorFlow) for anomaly detection and predictive data correction.
Familiarity with data governance and regulatory standards (GDPR, SEC, ESMA, MiFID).
Proficiency in Lean, Agile, and automation-first approaches for process improvement.
Entrepreneurial mindset with a passion for innovation and scalability.
Strong leadership, mentorship, and collaboration abilities.
Flexible to adapt to evolving data and technology landscapes.

More Jobs at Morningstar

Associate Content Researcher

Navi Mumbai, Maharashtra

Experience: Not specified

Salary: Not disclosed

Database Administrator

Navi Mumbai, Maharashtra

3 - 5 yrs

Salary: Not disclosed

Principal Data Scientist

Navi Mumbai, Maharashtra

Experience: Not specified

Salary: Not disclosed

Team Lead

Mumbai

7 - 9 yrs

INR 12 - 13 Lacs

Compliance Associate

Navi Mumbai, Maharashtra

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Business Intelligence Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.