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Senior Data Scientist

Moody's

Full time On-site
Experience
4+ years
Location
Bangalore
Work mode
On-site
Salary
₹5.5L – ₹15L a year estimatetypical for Accounting & Finance Jobs in Karnataka, 31 posts
Posted 27 days ago

You apply on Moody's' website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • Build data, analytics and AI capabilities that strengthen digital asset insight and market readiness.
  • Support the development of scalable data capabilities that enhance Moody’s Ratings’ ability to analyze digital assets, tokenized…
  • Identify, structure and integrate digital asset, market infrastructure and ecosystem data sources to improve accessibility, quality and…
Experience
4+ years
Must-have skills
Data EngineeringData ModelingMachine Learning

How well do your skills match this job?

Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.

Job description

This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.


Skills and Competencies

  • 4+ years of experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics
  • Strong understanding of structured and unstructured data, including on-chain and off-chain data sources
  • Experience developing scalable data, analytics or artificial intelligence capabilities that support business, analytical or strategic objectives
  • Working knowledge of artificial intelligence, machine learning and advanced analytics, with the ability to apply these techniques in financial, analytical or market-facing contexts
  • Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets
  • Ability to translate complex digital asset, market and analytical concepts into quantitative insights and scalable data capabilities
  • Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows, enhance operational efficiency and support responsible and ethical AI use

Education

  • Bachelor’s degree or equivalent relevant experience in data science, computer science, engineering, finance, economics, statistics, mathematics or a related field

Responsibilities

Build data, analytics and AI capabilities that strengthen digital asset insight and market readiness.

  • Support the development of scalable data capabilities that enhance Moody’s Ratings’ ability to analyze digital assets, tokenized instruments and emerging market infrastructure
  • Identify, structure and integrate digital asset, market infrastructure and ecosystem data sources to improve accessibility, quality and usability
  • Partner with technology, analytical, external data and industry stakeholders to strengthen data processes that support business priorities and long-term capability development
  • Develop analytical approaches to interpret complex digital asset, tokenization and market infrastructure data
  • Convert structured and unstructured data into insights that support strategic decision-making and analytical preparedness
  • Apply quantitative techniques to identify patterns, trends and risk-relevant signals across digital financial markets
  • Explore artificial intelligence, machine learning and advanced analytics opportunities to improve data processing, insight generation, scalability and business efficiency
  • Translate technical insights into practical recommendations that inform roadmap discussions, investment decisions and strategic planning

About the Team

Our Digital Economy team within Moody’s Ratings supports the firm’s strategy for innovative technologies including digital assets, tokenization, decentralized finance, stablecoins, on-chain infrastructure and data-driven innovation. The team works across analytical, technology, risk oversight, commercial and operational functions to develop scalable capabilities that help Moody’s Ratings understand, assess, ingest and deliver credit-relevant insights in digital financial markets. By joining the team, you will contribute to data science work at the intersection of blockchain networks, stablecoins, artificial intelligence and capital markets, while supporting responsible adoption of artificial intelligence and advanced analytics to strengthen workflows, decision-making and business readiness.


Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Key skills

Required

Data EngineeringData ModelingMachine Learning

Soft skills

Problem Solving

Job market insights

197active Data Engineering jobs in Bangalore
156active Data Modeling jobs in Bangalore
339active Machine Learning jobs in Bangalore
₹5.5L – ₹15L advertised yearly salary for Accounting & Finance Jobs in Karnataka (middle half of 31 posts that show a salary; median ₹7.5L)
10 more open jobs at Moody's

Most Accounting & Finance Jobs posts in Bangalore ask for 3–6 years of experience (37% of 558 that say).

Hiring most for Accounting & Finance Jobs in Bangalore

  • BSR & Co50 open jobs
  • JPMorganChase42 open jobs
  • State Street41 open jobs

Jobs asking for Data Engineering in Bangalore also ask for

  • Python61%
  • SQL57%
  • AWS44%
  • Microsoft Azure34%
  • CI/CD34%

From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Senior Data Scientist job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹5.5L – ₹15L a year (typical for Accounting & Finance Jobs in Karnataka, 31 posts).

How much experience does this job need?

The post asks for 4 Yrs experience.

Where is this job based?

In Bangalore (on-site).

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Moody's' website. CoreHRx takes you there after you sign in.

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