44 Quantitative Research jobs in India

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team. The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach.

About the Role:

The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology automation.

Responsibilities:

Model Development & Research:

• Design and build multi-factor models for equity, fixed income, and alternative asset classes
• Develop alpha generation signals and systematic trading strategies across multiple time horizons
• Research and implement new quantitative factors using academic literature and market insights
• Enhance existing models through continuous performance monitoring and iterative improvements

Data Infrastructure & Analytics:

• Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms
• Build automated data pipelines for real-time and historical market data processing
• Ensure data quality, integrity, and optimize query performance for research workflows
• Develop efficient storage solutions for multi-asset research environments

Strategy Testing & Validation:

• Conduct comprehensive backtesting across multiple market cycles using robust statistical methods
• Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations
• Generate detailed performance attribution and risk decomposition analysis
• Document model assumptions, limitations, and validation results

Risk Management & Monitoring:

• Build risk management frameworks including VaR, stress testing, and scenario analysis
• Monitor portfolio exposures, concentration risks, and factor loadings in real-time
• Develop automated alerting systems for model degradation and performance anomalies
• Support portfolio optimization and construction processes

Technology & Automation:

• Develop Python-based research and production systems with focus on scalability
• Create automated model monitoring, reporting, and alert generation frameworks
• Collaborate on technology infrastructure decisions and platform evaluations
• Maintain code quality and documentation standards

Qualifications:

Professional Experience:

• 4–8 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading
• Proven track record in systematic investment strategy development and implementation
• Experience with institutional-grade quantitative research and portfolio management

Technical Proficiency:

• Programming: Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries)
• Database: Hands-on Snowflake and SQL experience with large-scale data environments
• Analytics: Statistical modeling, econometrics, and machine learning techniques
• Platforms: Bloomberg Terminal, Refinitiv, or equivalent financial data systems

Quantitative Expertise:

• Deep understanding of factor models, portfolio optimization, and systematic risk management
• Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures
• Experience with market microstructure analysis and high-frequency data processing
• Familiarity with performance attribution methodologies and benchmark construction

Communication & Analysis:

• Strong problem-solving abilities with exceptional attention to detail
• Ability to translate quantitative insights into actionable investment recommendations
• Excellent presentation skills for communicating complex research to stakeholders
• Collaborative approach to working in cross-functional investment teams.

Educational Background:

• Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering
• CQF, CFA, FRM or equivalent professional certification preferred
• Strong academic foundation with demonstrated quantitative aptitude

Regulatory Awareness:

• Understanding of SEBI AIF regulations and compliance frameworks
• Knowledge of investment management risk controls and regulatory reporting requirements

Preferred Skills:

• Industry Recognition: Published quantitative research or contributions to investment thought leadership
• Multi-Asset Expertise: Experience across equity, fixed income, commodities, and alternative investments
• Innovation Mindset: Interest in machine learning, alternative data, and emerging quantitative techniques
• Advanced Programming: Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques
• Domain Specialization: Strong background in specific asset classes such as Indian equities & emerging markets
• Entrepreneurial Drive: Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment
• Industry Certifications: Additional qualifications or specialized quantitative finance credentials will be a plus
• Alternative Data & AI: Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus

Pay range and compensation package:

Competitive with industry standards, including performance-based incentives.

Job Title : Quantitative Research Associate
Location: Bangalore (IISc Campus) / Hybrid
Team: Science & Modeling | Shonku Labs, Alt Carbon
Experience: 1–4 years
Type: Full-time

About Alt Carbon: Alt Carbon is India’s leading Carbon Removal (CDR) company. We blend science, technology & tradition to undertake climate action to turn the clock on historic emissions in the atmosphere. Our science and technology takes place in Bangalore; our operations are undertaken in Darjeeling’s heritage tea estates.
Alt Carbon was started by sibling tea planters Shrey and Sparsh Agarwal, in order to rescue their family’s tea estate from being at-risk of climate impact to becoming the frontier of climate action.
Read about our journey below:
Our Journey to Revive Darjeeling
To read more about our work, check out this news feature about us, go through this twitter thread , or have a look at our work in Darjeeling.

About the Role
Alt Carbon is building a new generation of scientific infrastructure to support high-integrity Carbon Dioxide Removal (CDR) through Enhanced Rock Weathering (ERW). At the heart of this effort is a robust, quantitative approach to modeling weathering reactions, tracking elemental fluxes, and calculating real-world net CO₂ removal.
We are hiring a Quantitative Research Associate to help build, test, and scale the core mathematical and statistical models that underpin our science. You’ll work closely with geochemists, soil scientists, AI engineers, and field teams to turn messy physical data into reliable, registry-grade CDR numbers.

Key Responsibilities
Design and validate mathematical models of mineral weathering, geochemical fluxes, and carbon sequestration
Conduct uncertainty quantification and error propagation analysis across sampling and modeling workflows
Build Monte Carlo simulations and other stochastic models for registry-aligned carbon accounting
Analyze datasets from lab, field, and satellite sources to extract meaningful patterns and trends
Support the development of sampling strategies , including spatial and temporal optimization
Collaborate with product and software teams to embed scientific logic into automated MRV platforms
Contribute to whitepapers, publications, and technical memos for third-party validation

Qualifications
Bachelor's or Master’s degree in:
– Mathematics / Applied Statistics / Data Science
– Physics / Environmental Engineering / Computational Sciences
– Or equivalent with strong quantitative background
Experience with:
– Statistical modeling and inference
– Error analysis, confidence intervals, and sensitivity testing
– Simulation methods (e.g., Monte Carlo, bootstrapping)
Proficiency in Python (preferred) or R for modeling and data analysis
Comfort with reading scientific papers and replicating models/equations
Bonus: Experience with spatial data, environmental datasets, or climate modeling
Bonus: Understanding of basic geochemical or environmental systems (not required — can learn on the job)

Who You Are
You’re a quantitative thinker who gets excited by real-world complexity
You treat uncertainty not as a nuisance, but as a solvable scientific problem
You’re comfortable toggling between equations, field data, and code
You’re rigorous with numbers, but open-minded to scientific intuition
You want your models to matter — in public policy, climate impact, and planetary systems

Why This Matters
Most of the world’s carbon models are built for theory. You’ll help build ones grounded in soil, rock, rain, and real-world data . This is one of the most consequential modeling problems of our time — and we need people who can handle the complexity.

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team. The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach.

About the Role:
The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology automation.

Responsibilities:

Model Development & Research:
Design and build multi-factor models for equity, fixed income, and alternative asset classes
Develop alpha generation signals and systematic trading strategies across multiple time horizons
Research and implement new quantitative factors using academic literature and market insights
Enhance existing models through continuous performance monitoring and iterative improvements

Data Infrastructure & Analytics:
Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms
Build automated data pipelines for real-time and historical market data processing
Ensure data quality, integrity, and optimize query performance for research workflows
Develop efficient storage solutions for multi-asset research environments

Strategy Testing & Validation:
Conduct comprehensive backtesting across multiple market cycles using robust statistical methods
Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations
Generate detailed performance attribution and risk decomposition analysis
Document model assumptions, limitations, and validation results

Risk Management & Monitoring:
Build risk management frameworks including VaR, stress testing, and scenario analysis
Monitor portfolio exposures, concentration risks, and factor loadings in real-time
Develop automated alerting systems for model degradation and performance anomalies
Support portfolio optimization and construction processes

Technology & Automation:
Develop Python-based research and production systems with focus on scalability
Create automated model monitoring, reporting, and alert generation frameworks
Collaborate on technology infrastructure decisions and platform evaluations
Maintain code quality and documentation standards

Qualifications:

Professional Experience:
4–8 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading
Proven track record in systematic investment strategy development and implementation
Experience with institutional-grade quantitative research and portfolio management

Technical Proficiency:
Programming: Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries)
Database: Hands-on Snowflake and SQL experience with large-scale data environments
Analytics: Statistical modeling, econometrics, and machine learning techniques
Platforms: Bloomberg Terminal, Refinitiv, or equivalent financial data systems

Quantitative Expertise:
Deep understanding of factor models, portfolio optimization, and systematic risk management
Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures
Experience with market microstructure analysis and high-frequency data processing
Familiarity with performance attribution methodologies and benchmark construction

Communication & Analysis:
Strong problem-solving abilities with exceptional attention to detail
Ability to translate quantitative insights into actionable investment recommendations
Excellent presentation skills for communicating complex research to stakeholders
Collaborative approach to working in cross-functional investment teams.

Educational Background:
Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering
CQF, CFA, FRM or equivalent professional certification preferred
Strong academic foundation with demonstrated quantitative aptitude

Regulatory Awareness:
Understanding of SEBI AIF regulations and compliance frameworks
Knowledge of investment management risk controls and regulatory reporting requirements

Preferred Skills:
Industry Recognition: Published quantitative research or contributions to investment thought leadership
Multi-Asset Expertise: Experience across equity, fixed income, commodities, and alternative investments
Innovation Mindset: Interest in machine learning, alternative data, and emerging quantitative techniques
Advanced Programming: Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques
Domain Specialization: Strong background in specific asset classes such as Indian equities & emerging markets
Entrepreneurial Drive: Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment
Industry Certifications: Additional qualifications or specialized quantitative finance credentials will be a plus
Alternative Data & AI: Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus

Pay range and compensation package:
Competitive with industry standards, including performance-based incentives.

Job Title : Quantitative Research Associate

Location: Bangalore (IISc Campus) / Hybrid

Team: Science & Modeling | Shonku Labs, Alt Carbon

Experience: 1–4 years

Type: Full-time

About Alt Carbon: Alt Carbon is India’s leading Carbon Removal (CDR) company. We blend science, technology & tradition to undertake climate action to turn the clock on historic emissions in the atmosphere. Our science and technology takes place in Bangalore; our operations are undertaken in Darjeeling’s heritage tea estates.

Alt Carbon was started by sibling tea planters Shrey and Sparsh Agarwal, in order to rescue their family’s tea estate from being at-risk of climate impact to becoming the frontier of climate action.

Read about our journey below:

Our Journey to Revive Darjeeling

To read more about our work, check out this news feature about us, go through this twitter thread , or have a look at our work in Darjeeling.

About the Role

Alt Carbon is building a new generation of scientific infrastructure to support high-integrity Carbon Dioxide Removal (CDR) through Enhanced Rock Weathering (ERW). At the heart of this effort is a robust, quantitative approach to modeling weathering reactions, tracking elemental fluxes, and calculating real-world net CO₂ removal.

We are hiring a Quantitative Research Associate to help build, test, and scale the core mathematical and statistical models that underpin our science. You’ll work closely with geochemists, soil scientists, AI engineers, and field teams to turn messy physical data into reliable, registry-grade CDR numbers.

Key Responsibilities

• Design and validate mathematical models of mineral weathering, geochemical fluxes, and carbon sequestration
• Conduct uncertainty quantification and error propagation analysis across sampling and modeling workflows
• Build Monte Carlo simulations and other stochastic models for registry-aligned carbon accounting
• Analyze datasets from lab, field, and satellite sources to extract meaningful patterns and trends
• Support the development of sampling strategies , including spatial and temporal optimization
• Collaborate with product and software teams to embed scientific logic into automated MRV platforms
• Contribute to whitepapers, publications, and technical memos for third-party validation

Qualifications

• Bachelor's or Master’s degree in:

– Mathematics / Applied Statistics / Data Science

– Physics / Environmental Engineering / Computational Sciences

– Or equivalent with strong quantitative background

• Experience with:

– Statistical modeling and inference

– Error analysis, confidence intervals, and sensitivity testing

– Simulation methods (e.g., Monte Carlo, bootstrapping)

• Proficiency in Python (preferred) or R for modeling and data analysis
• Comfort with reading scientific papers and replicating models/equations
• Bonus: Experience with spatial data, environmental datasets, or climate modeling
• Bonus: Understanding of basic geochemical or environmental systems (not required — can learn on the job)

Who You Are

• You’re a quantitative thinker who gets excited by real-world complexity
• You treat uncertainty not as a nuisance, but as a solvable scientific problem
• You’re comfortable toggling between equations, field data, and code
• You’re rigorous with numbers, but open-minded to scientific intuition
• You want your models to matter — in public policy, climate impact, and planetary systems

Why This Matters

Most of the world’s carbon models are built for theory. You’ll help build ones grounded in soil, rock, rain, and real-world data . This is one of the most consequential modeling problems of our time — and we need people who can handle the complexity.

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team. The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach.

About the Role:

The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology automation.

Responsibilities:

Model Development & Research:

• Design and build multi-factor models for equity, fixed income, and alternative asset classes
• Develop alpha generation signals and systematic trading strategies across multiple time horizons
• Research and implement new quantitative factors using academic literature and market insights
• Enhance existing models through continuous performance monitoring and iterative improvements

Data Infrastructure & Analytics:

• Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms
• Build automated data pipelines for real-time and historical market data processing
• Ensure data quality, integrity, and optimize query performance for research workflows
• Develop efficient storage solutions for multi-asset research environments

Strategy Testing & Validation:

• Conduct comprehensive backtesting across multiple market cycles using robust statistical methods
• Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations
• Generate detailed performance attribution and risk decomposition analysis
• Document model assumptions, limitations, and validation results

Risk Management & Monitoring:

• Build risk management frameworks including VaR, stress testing, and scenario analysis
• Monitor portfolio exposures, concentration risks, and factor loadings in real-time
• Develop automated alerting systems for model degradation and performance anomalies
• Support portfolio optimization and construction processes

Technology & Automation:

• Develop Python-based research and production systems with focus on scalability
• Create automated model monitoring, reporting, and alert generation frameworks
• Collaborate on technology infrastructure decisions and platform evaluations
• Maintain code quality and documentation standards

Qualifications:

Professional Experience:

• 4–8 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading
• Proven track record in systematic investment strategy development and implementation
• Experience with institutional-grade quantitative research and portfolio management

Technical Proficiency:

• Programming: Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries)
• Database: Hands-on Snowflake and SQL experience with large-scale data environments
• Analytics: Statistical modeling, econometrics, and machine learning techniques
• Platforms: Bloomberg Terminal, Refinitiv, or equivalent financial data systems

Quantitative Expertise:

• Deep understanding of factor models, portfolio optimization, and systematic risk management
• Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures
• Experience with market microstructure analysis and high-frequency data processing
• Familiarity with performance attribution methodologies and benchmark construction

Communication & Analysis:

• Strong problem-solving abilities with exceptional attention to detail
• Ability to translate quantitative insights into actionable investment recommendations
• Excellent presentation skills for communicating complex research to stakeholders
• Collaborative approach to working in cross-functional investment teams.

Educational Background:

• Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering
• CQF, CFA, FRM or equivalent professional certification preferred
• Strong academic foundation with demonstrated quantitative aptitude

Regulatory Awareness:

• Understanding of SEBI AIF regulations and compliance frameworks
• Knowledge of investment management risk controls and regulatory reporting requirements

Preferred Skills:

• Industry Recognition: Published quantitative research or contributions to investment thought leadership
• Multi-Asset Expertise: Experience across equity, fixed income, commodities, and alternative investments
• Innovation Mindset: Interest in machine learning, alternative data, and emerging quantitative techniques
• Advanced Programming: Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques
• Domain Specialization: Strong background in specific asset classes such as Indian equities & emerging markets
• Entrepreneurial Drive: Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment
• Industry Certifications: Additional qualifications or specialized quantitative finance credentials will be a plus
• Alternative Data & AI: Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus

Pay range and compensation package:

Competitive with industry standards, including performance-based incentives.

Founded in 1971, Dolat Capital is a multi-strategy quantitative trading firm, dedicated to producing high returns using mathematical and statistical techniques. We trade actively in various asset classes using our ultra-low latency trading infrastructure.

At Dolat, quantitative research is the foundation for our trading strategies. We conduct a quantitative analysis of market data to uncover relationships and identify historical trends for exploiting anomalies in the market. Our quantitative research team develops mathematical and statistical models, based on historical data, to represent markets and behavioural patterns.

As a Quantitative Researcher, you will develop mathematical models using statistical methods to build fully automated trading systems & strategies. Our research team collaborates on idea generation, strategy development, and encourages independent exploration of novel ideas.

We have a group of bright quantitative researchers and analysts from various scientific disciplines who have built an array of analytical tools, to help us design, develop and run our quantitative strategies in financial markets.

We are seeking equally empirical and imaginative thinker to join our team.

Role & Responsibility

Contributing to original research on quantitative indicators/models that drive the construction of high-frequency trading strategies, that we trade in production

Developing trading strategies, from idea generation and data collection to analysis and model creation

Extract predictive signals from financial data through statistical analysis methods

Assist software developers to translate research strategies into production software

Optimize the order execution and risk management of our trading system

Analyze a large amount of data and develop prediction algorithms/regression models and implement them in C++, R, Matlab and python environments

Formulate and apply mathematical modelling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities

Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas

Applying analytical and simulation techniques to analyze model performance

  Must Haves

A strong academic record with a preference for a master’s/PhD degree in a quantitative discipline – computer science, mathematics, physics, statistics, or a related discipline

A demonstrated capacity to do first-class research & experience in tackling in-depth research projects.

Strong computer programming skills and experience working with data.

Understanding in at least some of the following areas: time-series analysis, statistical estimation, Bayesian techniques, scenario analysis, numerical optimization and optimal control.

A curiosity for model development and experience handling large data sets

Strong problem-solving and statistics skills

The proactive ability to take the lead on assignments and deliver practical research results in a timely manner

Can advocate for your beliefs in a concise and effective way with the team

Creativity, solid analytical skills and attention to detail.

The ability to communicate complex ideas clearly.

Job Description

ABOUT THIS JOB 

We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies.

RESPONSIBILITIES

● Managing clients and their respective projects' custom research team in matters of market research based on experience in one or more sectors (FMCG, Telecom, CPG, Tech & Durables etc.)

● Adept in independently handling all stages in a Customized Market Research Project: 

●Project Launch after the study is awarded. This role has min. involvement in proposal making & proposal development & is execution heavy role. 

●Questionnaire design, Analysis plan, Report planning & development 

●Presentation preparation and sharing insights with client 

● Team management 

● Drive client satisfaction by providing insights and actionable recommendations during presentations or business reviews and also by providing value-added analyses and response to special requests. 

● Undertake sales activities independently or in conjunction with senior staff in terms of preparation and delivery of proposal and credentials 

● Ensure the generation of required revenue from the assigned client portfolio and proper 

● Contract costing in order to meet the agreed budget targets 

● Identify and recommend enhanced and new services that answer clients' business needs 

● Build and maintain ongoing relationships with the identified key persons within client organization 

● Accountable for key strategic clients in terms of execution of the full research cycle From Questionnaire design till final report delivery ensuring all quality checks are conducted to deliver insightful reports.

●Team handling . Team of 4-5 SRE & RE 

●Managing projects independently, including client interaction & escalations if any 

●Adherence of all NIQ based processes. 

Qualifications

A LITTLE BIT ABOUT YOU

 
Experience in Primary Quantitative Market Research with practical knowledge of research methodologies like Brand Tracking, Brand Health, Ad Hoc , CBC, Segmentation, NPS CSAT and Competitive Analysis etc. 

QUALIFICATIONS
● 4 to 7 years’ experience in Quantitative Consumer Insights role, preferably from agency side 

● Strong Client Focus and Proactiveness 

● Working knowledge of statistics and multivariate analysis 

● Strong interpersonal skills 

● Prior team management experience is a must 

● Very Good Influencing & Persuading Skills 

● Excellent project management skills 

● Strong understanding of consumer behavior

● Knowledge of statistics and multivariate analysis

●Team management 

Additional Information

Our Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit

Want to keep up with our latest updates?

Follow us on: | | | 

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: 

Job Description

ABOUT THIS JOB 

We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies.  
  
RESPONSIBILITIES  
  
● Managing clients and their respective projects' custom research team in matters of market research based on experience in one or more sectors (FMCG, Telecom, CPG, Tech & Durables etc.)   

● Adept in independently handling all stages in a Customized Market Research Project: 

●Project Launch after the study is awarded. This role has min. involvement in proposal making & proposal development & is execution heavy role. 

●Questionnaire design, Analysis plan, Report planning & development 

●Presentation preparation and sharing insights with client 

● Team management 

● Drive client satisfaction by providing insights and actionable recommendations during presentations or business reviews and also by providing value-added analyses and response to special requests. 

● Undertake sales activities independently or in conjunction with senior staff in terms of preparation and delivery of proposal and credentials 

● Ensure the generation of required revenue from the assigned client portfolio and proper 

● Contract costing in order to meet the agreed budget targets 

● Identify and recommend enhanced and new services that answer clients' business needs 

● Build and maintain ongoing relationships with the identified key persons within client organization 

● Accountable for key strategic clients in terms of execution of the full research cycle From Questionnaire design till final report delivery ensuring all quality checks are conducted to deliver insightful reports.  

●Team handling . Team of 4-5 SRE & RE 

●Managing projects independently, including client interaction & escalations if any 

●Adherence of all NIQ based processes. 
  

Qualifications

A LITTLE BIT ABOUT YOU  

 
Experience in Primary Quantitative Market Research with practical knowledge of research methodologies like Brand Tracking, Brand Health, Ad Hoc , CBC, Segmentation, NPS CSAT and Competitive Analysis etc. 

  
QUALIFICATIONS  
 ● 4 to 7 years’ experience in Quantitative Consumer Insights role, preferably from agency side 

● Strong Client Focus and Proactiveness 

● Working knowledge of statistics and multivariate analysis 

● Strong interpersonal skills 

● Prior team management experience is a must 

● Very Good Influencing & Persuading Skills 

● Excellent project management skills 

● Strong understanding of consumer behavior  

● Knowledge of statistics and multivariate analysis  

●Team management 

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn  | Instagram  | Twitter  | Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: 

Job Title : Quantitative Research Associate

Location: Bangalore (IISc Campus) / Hybrid

Team: Science & Modeling | Shonku Labs, Alt Carbon

Experience: 1–4 years

Type: Full-time

About Alt Carbon: Alt Carbon is India’s leading Carbon Removal (CDR) company. We blend science, technology & tradition to undertake climate action to turn the clock on historic emissions in the atmosphere. Our science and technology takes place in Bangalore; our operations are undertaken in Darjeeling’s heritage tea estates.

Alt Carbon was started by sibling tea planters Shrey and Sparsh Agarwal, in order to rescue their family’s tea estate from being at-risk of climate impact to becoming the frontier of climate action.

Read about our journey below:

Our Journey to Revive Darjeeling

To read more about our work, check out this news feature about us, go through this twitter thread, or have a look at our work in Darjeeling.

About the Role

Alt Carbon is building a new generation of scientific infrastructure to support high-integrity Carbon Dioxide Removal (CDR) through Enhanced Rock Weathering (ERW). At the heart of this effort is a robust, quantitative approach to modeling weathering reactions, tracking elemental fluxes, and calculating real-world net CO₂ removal.

We are hiring a Quantitative Research Associate to help build, test, and scale the core mathematical and statistical models that underpin our science. You’ll work closely with geochemists, soil scientists, AI engineers, and field teams to turn messy physical data into reliable, registry-grade CDR numbers.

Key Responsibilities

• Design and validate mathematical models of mineral weathering, geochemical fluxes, and carbon sequestration
• Conduct uncertainty quantification and error propagation analysis across sampling and modeling workflows
• Build Monte Carlo simulations and other stochastic models for registry-aligned carbon accounting
• Analyze datasets from lab, field, and satellite sources to extract meaningful patterns and trends
• Support the development of sampling strategies , including spatial and temporal optimization
• Collaborate with product and software teams to embed scientific logic into automated MRV platforms
• Contribute to whitepapers, publications, and technical memos for third-party validation

Qualifications

• Bachelor's or Master’s degree in:

– Mathematics / Applied Statistics / Data Science

– Physics / Environmental Engineering / Computational Sciences

– Or equivalent with strong quantitative background

• Experience with:

– Statistical modeling and inference

– Error analysis, confidence intervals, and sensitivity testing

– Simulation methods (e.g., Monte Carlo, bootstrapping)

• Proficiency in Python (preferred) or R for modeling and data analysis
• Comfort with reading scientific papers and replicating models/equations
• Bonus: Experience with spatial data, environmental datasets, or climate modeling
• Bonus: Understanding of basic geochemical or environmental systems (not required — can learn on the job)

Who You Are

• You’re a quantitative thinker who gets excited by real-world complexity
• You treat uncertainty not as a nuisance, but as a solvable scientific problem
• You’re comfortable toggling between equations, field data, and code
• You’re rigorous with numbers, but open-minded to scientific intuition
• You want your models to matter — in public policy, climate impact, and planetary systems

Why This Matters

Most of the world’s carbon models are built for theory. You’ll help build ones grounded in soil, rock, rain, and real-world data . This is one of the most consequential modeling problems of our time — and we need people who can handle the complexity.