Risk Engineer - Data Officer - Associate Risk Engineer - Data Officer - Associate …

Selby Jennings QRF
à Dallas, TX, États-Unis
CDI, Plein-temps
Dernière candidature, 07 sept. 21
Negotiable
Selby Jennings QRF
à Dallas, TX, États-Unis
CDI, Plein-temps
Dernière candidature, 07 sept. 21
Negotiable
Selby Jennings QRF
One of the best known, longstanding international investment banks is looking to bring on an associate level hire, into a critical division of their business. This group sits within engineering, supporting the risk management function of the bank which is responsible for credit, market, operational, model and liquidity risk for the bank.

One of the best known, longstanding international investment banks is looking to bring on an associate level hire, into a critical division of their business. This group sits within engineering, supporting the risk management function of the bank which is responsible for credit, market, operational, model and liquidity risk for the bank. This team drives Risk Management's data centric approach to increase efficiency, automate processes and creating consistency for data usage. Located in Dallas, TX this is an exciting role for a junior candidate looking to take on more responsibility and gain more exposure.

What You Will Be Responsible For:

  • Leading projects for strategic data acquisition for the bank
  • Identifying and implementing plans to close data gaps in support of risk management needs and business strategy
  • Tracking, understanding and measuring data and data quality
  • Ensuring that all data used to drive risk decisions is well catalogued, understood and owned
  • Communicating with senior stakeholders to agree on data standards
  • Evolving, maintaining and enforcing the data governance framework and program

What A Successful Candidate Will Have:

  • A Bachelor's degree in mathematics, computer science, hard sciences, financial engineering or finance
  • 2-4 years of full time (not internship) experience working in a financial institution
  • Exceptional analytical, quantitative, interpersonal and organizational skills
  • The ability to work well with a team, as well as independently
  • Knowledge of and experience in data analytics, measuring data and data quality
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