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Job Details

Millennium logo
Hedge Funds

Quantitative Developer - Python

at Millennium

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Quantitative Developer (Python) based in Bangalore to build data-driven risk analytics and microservices for Millennium's Enterprise Risk Technology team. You will collaborate with quants and risk managers across New York, London and Singapore to develop multi-asset analytics, stress testing and VaR using Python, FastAPI/Django and data libraries such as pandas/polars. The role involves building REST APIs, deploying and managing cloud applications on AWS, and working with relational databases, Git and Unix/Linux environments. Requires 2-5 years of experience with strong analytical and problem-solving skills.

Compensation
Not specified

Currency: Not specified

City
Bengaluru, New York City, London, Singapore
Country
India, United States, United Kingdom, Singapore

Full Job Description

Quantitative Developer - Python

Quantitative Developer (Python)

Location: Bangalore

Experience: 2-5 Years

Team: Enterprise Risk Technology

About the role:

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business.

The Enterprise Risk Technology team is looking for Quantitative Developer. The developer will leverage Python, FastAPI/Django, AWS, and data manipulation libraries to provide data-driven solutions to stakeholders.

Responsibilities:

  • Work closely with quants, risk managers and other technologists in New York, London and Singapore to develop multi-asset analytics, stress and VaR for our in-house risk platform
  • Develop micro-services using Python and analyze data with pandas/polars.
  • Create and manage cloud applications on AWS.
  • Utilize GIT and appropriate DBMS solutions

Required skills/experience:

  • Strong analytical skills &problem solving capabilities
  • Experience working with python, and data analysis libraries (Pandas/Polars)
  • Experience with REST APIs and cloud services
  • Relational SQL database development experience
  • Unix/Linux command-line experience

Desirable skills/experience:

  • AWS cloud services: EC2, S3, Aurora, Redshift, etc
  • Identity and Access Management: Kerberos, OAuth 2.0, LDAP
  • Broad understanding of financial services instruments.
  • Bachelor’s degree in Computer Science & Engineering from Tier 1 colleges.

Job Details

Millennium logo
Hedge Funds

17 days ago

clicks

Quantitative Developer - Python

at Millennium

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Bengaluru, New York City, London, Singapore

Country: India, United States, United Kingdom, Singapore

Quantitative Developer (Python) based in Bangalore to build data-driven risk analytics and microservices for Millennium's Enterprise Risk Technology team. You will collaborate with quants and risk managers across New York, London and Singapore to develop multi-asset analytics, stress testing and VaR using Python, FastAPI/Django and data libraries such as pandas/polars. The role involves building REST APIs, deploying and managing cloud applications on AWS, and working with relational databases, Git and Unix/Linux environments. Requires 2-5 years of experience with strong analytical and problem-solving skills.

Full Job Description

Quantitative Developer - Python

Quantitative Developer (Python)

Location: Bangalore

Experience: 2-5 Years

Team: Enterprise Risk Technology

About the role:

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business.

The Enterprise Risk Technology team is looking for Quantitative Developer. The developer will leverage Python, FastAPI/Django, AWS, and data manipulation libraries to provide data-driven solutions to stakeholders.

Responsibilities:

  • Work closely with quants, risk managers and other technologists in New York, London and Singapore to develop multi-asset analytics, stress and VaR for our in-house risk platform
  • Develop micro-services using Python and analyze data with pandas/polars.
  • Create and manage cloud applications on AWS.
  • Utilize GIT and appropriate DBMS solutions

Required skills/experience:

  • Strong analytical skills &problem solving capabilities
  • Experience working with python, and data analysis libraries (Pandas/Polars)
  • Experience with REST APIs and cloud services
  • Relational SQL database development experience
  • Unix/Linux command-line experience

Desirable skills/experience:

  • AWS cloud services: EC2, S3, Aurora, Redshift, etc
  • Identity and Access Management: Kerberos, OAuth 2.0, LDAP
  • Broad understanding of financial services instruments.
  • Bachelor’s degree in Computer Science & Engineering from Tier 1 colleges.