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Quantitative Developer - Python

at Millennium

Back to all Python jobs
Millennium logo
Hedge Funds

Quantitative Developer - Python

at Millennium

JuniorNo visa sponsorshipPython

Posted 4 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Quantitative Developer based in Bangalore to build Python-based microservices and data-driven analytics for an in-house enterprise risk platform. The role partners with quants and risk managers to develop multi-asset analytics, stress testing and VaR using Python (FastAPI/Django), Pandas/Polars, AWS and relational databases.

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.

Quantitative Developer - Python

at Millennium

Back to all Python jobs
Millennium logo
Hedge Funds

Quantitative Developer - Python

at Millennium

JuniorNo visa sponsorshipPython

Posted 4 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Quantitative Developer based in Bangalore to build Python-based microservices and data-driven analytics for an in-house enterprise risk platform. The role partners with quants and risk managers to develop multi-asset analytics, stress testing and VaR using Python (FastAPI/Django), Pandas/Polars, AWS and relational databases.

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.

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