252 Quantitative Analysis jobs in India

Dezerv is a house of investing solutions for high-net-worth and affluent Indians. Dezerv is co-founded by Sandeep Jethwani, Vaibhav Porwal, and Sahil Contractor. They have led successful wealth management businesses and managed over USD 7 billion in assets. The Dezerv team brings together decades of investing expertise from leading global financial institutions like JP Morgan, UBS, BNP Paribas, etc. Our team of experts monitors the performance of portfolios and rebalance them if required to ensure long-term success. We are backed by marquee firms like Premji Invest, Accel, Elevation, Matrix, etc. Since inception, our clients have trusted us with over 12000+ Crs of their assets.

Why are we building Dezerv?

Investing is stressful and emotional. Building & growing wealth is difficult and time-consuming. Most individuals struggle with managing their investments and money. Our goal is to help individuals grow their wealth without the stress, time, and costs involved in a traditional investment. At Dezerv, we are building a platform that leverages our decades of investment expertise to help individuals invest better for their future.

What are we trying to solve/mission?

We are passionate about helping Indians invest better. We manage investments with active oversight to help both sophisticated and new investors build long-term wealth across various market conditions.

Key Responsibilities:

• Lead Dezerv’s quantitative research strategy and align it with investment objectives
• Develop, test, and iterate quantitative models and strategies end-to-end & conduct data analysis to extract actionable investment insights
• Design algorithms for portfolio construction, optimization, and risk management & ensure compliance with regulatory standards and internal risk protocols
• Manage and mentor a team of quant researchers. Collaborate with the Engineering & Product team to operationalize models
• Present research findings to internal stakeholders and clients & maintain high standards of data quality, model robustness, and research rigor
• Stay current with trends in quant finance, GenAI, and data science and use them to improve our product offerings

Qualifications:

• 7–10+ years of experience in quantitative investment research & data modelling, and a prior experience leading a team of 4-5+ people
• Experience working in the investment domain and ability to create, manage, test, and iterate strategies end to end
• Proficient in Programming languages like Python/R, SQL; experienced with Cloud Data Warehousing technologies like Snowflake, AWS S3, Redshift etc
• Advanced degree in Mathematics, Statistics, Data Science, or related field from a reputed institution, and excellent analytical, communication, and leadership skills
• Strong background in building robust backtesting frameworks to validate strategies using historical data, ensuring reliability and minimizing model risk
• Ability to process and analyse massive datasets efficiently, utilizing modern data engineering and distributed computing tools
• Experience working with engineering, MLOps, and data science teams to deploy models and ensure seamless integration into production environments

Job Title - Senior Associate (Qual+Quant)

Experience Level - 3 to 6 Years

Department – Investment Banking

Location – Gurugram

Job Summary

Acuity is currently looking for dedicated and motivated individuals who have strong leadership, organizational and teamwork skills for its Investment Banking team based in Gurgaon.

Key Responsibilities

• Play a key role in the origination, generation & evaluation of ideas / opportunities, and execution of transactions and working across broad scope of assignments across multiple geographies and sectors

• Conduct deep dive research and analysis on various industries including TMT, Industrials & Consumer, Infrastructure, Healthcare, Metal & Mining, Retail, Oil & Gas, FIG, among others

• Working on company profiles (ranging from strips / thumbnails to one-page summaries to detailed ones), potential targets / buyers / M&A screening, Pitch book update and other adhoc research

• Take ownership of sophisticated financial models, company valuation, trading/ transaction comparable, ratio analysis, financial performance analysis, etc.

• Structure and/or supervise presentations and projects / transactions related documents

• Benchmark companies on various financial and operating parameters to analyze the competitive positioning

• Exhaustive secondary research (through databases, general secondary sources, journals, annual reports, company websites, government and ministry websites)

• Communicate with current & potential clients regarding projects structuring, timelines and clarifying queries

• Industry screening on pre-defined criteria to create a shortlist

• Financial analysis with extensive use of databases, filings and other company documents

• Manage project timelines and quality of deliverables in a manner to ensure “high client satisfaction”

• Presenting findings of analysis to clients, team members and senior management

• Conducting detailed quality checks of all outgoing materials

• Ability to work individually and in the team

Key Competencies

• MBA (Finance) / CA / CFA

• Experience of 4-6 years in Investment banking division of a bank, boutique firm, KPO, consultancy and advisory firm

• Should have good knowledge, understanding and working experience of industry research, company profiles, case studies, potential targets / buyers / M&A screening, company valuations and financial performance analysis

• Strong finance fundamentals and knowledge of financial terminology

• Excellent working knowledge of databases such as Bloomberg, Capital IQ, Thomson Reuters, FactSet, Pitchbook, CB Insights, etc.

• Excellent written and spoken communication skills

• MS Office skills - should be proficient in MS PowerPoint, MS Excel, and MS Word

• Exposure to handle client relationships

• Ability to work independently and effectively under tight deadlines

Objective of the Position:

1. Assist in local research team management in establish and implement overall research strategies. Develop reasonable research plans with clear objectives. Effectively conduct or organize local teams to carry out user research projects
2. Collect and analyse user behaviour through field visits, user interviews, surveys, desk research etc.
3. Projects include but not limited to: user scanning (segmentation), target user deep dive, mobile software experience demand mining, new function concept test / usability test, NPS / user satisfaction / user experience measurement etc.
4. Advocate research findings to diverse audiences through written reports and in-person presentations; promote the implementation of research outputs.
5. Continuous up-skilling in research related methodology and technology as value add to the team.

Qualification Required:

1. 5+ years’ experience of user research (both qualitative and quantitative methods).
2. At least bachelor's degree in Psychology / Sociology / Statistics / Anthropology / Marketing / Business / Economics / Information Technology / Management or related fields.
3. Able to communication effectively in English — written and verbal. Fluency in other local languages.
4. Familiar with a variety of user research methodologies, such as: interviews and fieldwork, moderating focus group conversations, survey design and data analysis.
5. Experience conducting a range of research methods applicable to all product stages from conception to release and driving tangible outcomes with product teams and a proven record of accomplishment of success.
6. Successfully manage and deliver on multiple projects / initiatives with tight timeline in a fast-paced environment.
7. Positive attitude; Be responsible and high spirit of team-working

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.