credit risk manager (commodities) in Singapore

posted
contact
stella he, randstad
job type
permanent

job details

posted
location
singapore
specialism
commodities trading
job type
permanent
working hours
Full-Time
experience
5 years
reference number
91M0158162_1625562962
contact
stella he, randstad
phone
65103630
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job description

about the company
our client is a MNC trading firm and they're seeking for a Credit Risk Manager - Individual contributor (Global) to join their Risk Management team.

about the job

  • Assess creditworthiness of counterparties, assign ratings, and set limits
  • Present files and credit requests to regular Credit Risk Committees
  • Participate in counterparty relationship development with Front Office
  • Negotiate credit, collateral, and payment terms in contracts in conjunction with Legal and Front Office, including ISDAs and physical master agreements
  • Monitor credit risk indicators, exposures, limits, and utilization for a portfolio of counterparties.
  • Respond to Front Office queries about exposure of potential trades and whether trades fit limits
  • Monitor news and credit events impacting portfolio of counterparties
  • Understand risk calculation methodology, interface with Methodology team in EU
  • Analyze major transactions and present material to GEM and Group level committees
  • Develop credit risk frameworks and methodologies for new products and markets
  • Participate in cross-functional projects

skills and experience required

  • Minimally 5-10 years of experience as a Credit Risk Analyst within the Oil & Gas / commodities banking sector
  • Professional risk qualification will be an added advantage
  • Strong Python, Excel, VBA, R programming, & SQL skills
  • Strong analytic, interpersonal and communications skills in order to work with traders, senior management and stakeholders
  • Able to work in a fast-paced environment

To apply online please use the 'apply' function, alternatively you may contact Stella He at 6510 3630.

(EA: 94C3609/ R1987043 )



skills

credit risk / quantitative / automation / python / vba

qualification

degree in quantitative finance / financial engineering / finance / mathematics / statistic / economics

educational requirements

Bachelor Degree