Risk, Liquidity Risk Strats, Associate, Singapore at Goldman Sachs
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

06 Aug, 25

Salary

0.0

Posted On

18 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Liquidity Risk, Physics, Programming Concepts, Statistics, Software Design, C++, Algorithms, Data Structures, Software Development, Financial Markets, Communication Skills, Mathematics

Industry

Financial Services

Description

RISK

The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.
Our Risk division develops comprehensive processes to monitor, assess, and manage the risk of expected and unexpected events that may have an adverse impact on the firm. Risk teams play a critical function for the firm, driving how the firm takes and manages risk. Risk professionals execute critical day-to-day risk management activities, lead projects and contribute to the ongoing advancement of a robust risk management program. Effective coordination with executive management, business units, control departments and technology is critical for success.

FUNCTIONALITY DESCRIPTION

  • Developing liquidity risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization
  • Performing detailed analysis on risk trends and drivers
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
  • Experience in designing highly scalable, efficient systemsEffectively communicating results and outputs from the model and insights from analysis
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QUALIFICATIONS

  • Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline
  • Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
  • Strong analytical and problem solving skills using math, statistics, and programming
  • Demonstrated ability to learn technologies and apply
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
  • Experience in designing highly scalable, efficient systemsFamiliarity with financial markets, financial assets and liquidity risk is a plus
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Responsibilities

Please refer the Job description for details

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