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Python Quantitative Developer

https://www.citi.com/ Logo

Citi

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Location:
Hungary, Budapest

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Python Quantitative Developer position at Citi's Markets Quantitative Analysis Department, responsible for providing analytical models for pricing securities and risk management throughout the Markets' businesses.

Job Responsibility:

  • Development and maintenance of the in-house python Analytical infrastructure
  • Advancing the quantitative toolbox by developing new technologies, algorithms and numerical techniques
  • Work on general efficiency improvement and optimization of the analytical library
  • Work on Regulatory and Governance based projects across a range of the asset classes
  • Work with Quant teams to standardize regulatory and infrastructural solutions

Requirements:

  • 1-2 years relevant experience in a Quantitative Developer role or Software development experience
  • Good command of programming using Python
  • Understanding distributed infrastructures: MQs, Service discovery, Python, Asyncio, SQL, MongoDB, React is an advantage
  • Proven track record of development and support analytics library such as Rates, Credit, Equities, Commodities as advantage
  • Previous experience working on Regulatory based projects such as Model Risk, Basel III, Stress Testing, CCAR, PAA an advantage
  • BSc / MSc in Software Engineering, Computer Science, Natural Sciences or Economics

Nice to have:

  • Understanding distributed infrastructures: MQs, Service discovery, Python, Asyncio, SQL, MongoDB, React
  • Proven track record of development and support analytics library such as Rates, Credit, Equities, Commodities
  • Previous experience working on Regulatory based projects such as Model Risk, Basel III, Stress Testing, CCAR, PAA
What we offer:
  • Cafeteria Program
  • Home Office Allowance
  • Paid Parental Leave Program
  • Private Medical Care Program
  • Pension Plan Contribution
  • Group Life Insurance
  • Employee Assistance Program
  • Access to learning and development programs
  • Flexible work arrangements
  • Career progression opportunities
  • Socially active employee communities

Additional Information:

Job Posted:
September 10, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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