Quantitative Analyst

Delivering quantitative insights that gives your business an edge in the market.

About

A quantitative analyst, also known as a "quant," is a professional who applies mathematical and statistical methods to financial and risk management problems. Quants work primarily in the finance and investment industries, but they may also be employed in fields such as insurance, energy trading as well as engineering. Here are some of the key responsibilities and skills of a quantitative analyst:

Overall, a quantitative analyst plays a critical role in the finance and investment industries using mathematical and statistical methods to develop investment strategies, evaluate risks as well as manage financial portfolios. Successful quants have strong analytical as well as programming skills, experience working with financial data and the ability to communicate complex financial concepts to non-technical stakeholders.

Eligibility

For Bachelor’s

  • The applicants must have cleared the secondary board level examination by scoring a minimum of 50% marks. 
  • The candidates must enrol in a Bachelor’s degree including the subjects of mathematics, physics, engineering and computer science.

 For Masters

  • Furthermore, the successful graduates must pursue higher studies such as MBA in Quality Management from a recognised university or college in order to attain the management skills.
  • Also, MBA is considered as a top priority for those who are looking forward to becoming a Quantitative Analyst.

Job Roles

Quantitative analysts, also known as "quants," are professionals who use their skills in mathematics, statistics, and computer programming to solve complex financial problems. Their job roles can vary depending on the industry they work in, but some common job roles of quantitative analysts include:

  • Actuary
  • Financial Analyst
  • Portfolio Manager
  • Business Analyst
  • Investment Banking Analyst
  • Financial Engineer
  • Quantitative Trader
  • Hedge Fund Manager 

Top Recruiters

The demand for quantitative analysts is on a rise and there are many companies across various industries that recruit them. Here are some of the top recruiters of quantitative analysts:

  • Goldman Sachs
  • JPMorgan Chase
  • Morgan Stanley
  • BlackRock 
  • Vanguard
  • McKinsey 
  • Boston Consulting Group
  • Google 
  • Amazon

Employment Sector

  • Insurance Companies
  • Consulting Firms
  • Commercial Banks
  • Wealth Management Companies
  • Accountancy Firms
  • Hedge Funds
  • Financial Software Companies

Salary

The salary of quantitative analysts varies depending on several factors such as the industry, location, years of experience and level of education. In the financial industry, quantitative analysts typically earn higher salaries than in other industries.

 

Level of Salary

Salary Package per Year

Starting Salary

Approx Rs 4,00,000

Mid Level Salary

Approx Rs 9,00,000 

Senior Level Salary

Approx Rs 16,00,000 

Skills

  • Strong mathematical and statistical skills
  • Programming skills
  • Analytical and critical thinking skills
  • Communication skills
  • Business acumen
  • Problem-solving skills

Scope

The career scope for quantitative analysts is quite promising, as there is a growing demand for their specialised skills and expertise across a wide range of industries. Some of the most common career paths for quantitative analysts include:

  • Financial services
  • Consulting
  • Technology
  • Energy sector 
  • Healthcare
  • Government sector 

Overall, the career scope for quantitative analysts is broad and diverse, with opportunities in a variety of industries as well as sectors. As businesses and organisations continue to rely on data-driven decision-making, the demand for quantitative analysts is expected to grow in the coming years.

Benefits

  • Improved decision-making
  • Better risk management
  • Increased efficiency
  • Competitive advantage
  • Positive impact on society

Drawbacks

  • Over Reliance on data
  • Limited perspective
  • Complexity
  • Ethical concerns
  • Risk of error