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Quant Researcher

SKS Enterpprises

Bengaluru

On-site

INR 6,00,000 - 10,00,000

Full time

30+ days ago

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Job summary

An innovative investment management firm is looking for a motivated Quantitative Researcher to enhance their trading strategies. In this role, you will develop and implement quantitative models, conduct in-depth research on financial markets, and utilize data-driven insights to improve investment performance. Collaborating with traders and portfolio managers, you will leverage your expertise in programming and statistical analysis to refine trading algorithms and stay ahead of market trends. If you are passionate about quantitative finance and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

  • 2-5 years of experience in quantitative research or algorithmic trading.
  • Strong programming skills in Python, R, C++, or MATLAB.

Responsibilities

  • Develop and optimize quantitative trading and investment strategies.
  • Conduct statistical analysis and risk assessments on financial datasets.

Skills

Quantitative Research
Statistical Analysis
Machine Learning
Python
R
C++
MATLAB
Econometrics
Time-Series Modeling
SQL
NoSQL

Education

Bachelor's in Quantitative Finance
Master's in Quantitative Finance
Bachelor's in Mathematics
Master's in Mathematics
Bachelor's in Statistics
Master's in Statistics
Bachelor's in Computer Science
Master's in Computer Science

Tools

Big Data Frameworks

Job description

Position Name: Quant Research

Location: Bengaluru

Experience Range: 2-5 years

Job Description: We are seeking a highly motivated Quantitative Researcher to join our investment management team in Bengaluru. The role involves developing and implementing quantitative models, conducting research on financial markets, and leveraging data-driven insights to enhance investment strategies.

Job Roles & Responsibilities:
  1. Develop, test, and optimize quantitative trading and investment strategies.
  2. Conduct statistical analysis, backtesting, and risk assessments on financial datasets.
  3. Work with large datasets to extract meaningful insights and improve predictive models.
  4. Implement machine learning and data science techniques to enhance portfolio performance.
  5. Collaborate with traders, portfolio managers, and technology teams to refine trading algorithms.
  6. Stay updated with market trends, economic indicators, and quantitative research advancements.
Qualification and Experience:
  1. 2-5 years of experience in quantitative research, algorithmic trading, or financial modeling.
  2. Strong programming skills in Python, R, C++, or MATLAB.
  3. Expertise in statistical analysis, econometrics, and time-series modeling.
  4. Experience with SQL, NoSQL, or big data frameworks is a plus.
  5. Familiarity with financial instruments, risk models, and portfolio optimization techniques.
  6. Bachelor's or Master's in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field preferred.
Other Details:
  1. Work from Office - Bengaluru
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