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2024 Quantitative Risk Analytics Full Time Analyst Programme London

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Placement and durationThe Firm Risk Management Division at Morgan Stanley seeks to identify, measure, monitor and control risks, and independently assess the effectiveness and consistency of risk management processes carried out by Risk Owners and across divisional risk stripes. This is a 2-year rotational programme beginning in August 2024 where Analysts get in-depth exposure to specific areas within Risk Analytics. Training ProgrammeThe Programme begins with a Firmwide induction with peers from other divisions. This is followed by one week of intensive classroom training, including an introduction to Morgan Stanley followed by division-specific training. Analysts will receive considerableon-the-job training and opportunities to take on meaningful and challenging projects with real day-to-day impact. In addition to the formal experience, analysts will engage in speaker series and other networking events. Role and ResponsibilitiesYou will work on projects, provide insights and develop creative solutions that impact the department and Firm, specifically within Risk Analytics.

  • Risk Analytics ("RA") develops credit risk, market risk and stress testing models providing quantitative analysis on the Firms risk exposures. Leveraging mathematical and statistical models, Risk Analytics calculates the risks associated with financialpositions
Qualifications and Skills
  • You are current studying and will graduate by July 2024 or have already graduated since 2022 with a Masters degree in a quantitative major subject such as Maths / Physics / Statistics / Econometrics / Engineering / Computer Science or a MORSE programme
  • You have obtained at least a 2.1 honours Bachelors degree or equivalent
  • You are intellectually curious about risk management, financial products, markets, and regulations
  • Show an ability to analyse and synthesize a variety of data to produce well-designed and meaningful summaries and reports
  • Familiarity with Python. Additional knowledge of SQL is beneficial but not essential
  • Familiarity with Microsoft Excel, PowerPoint and Word
  • Strong attention to detail and ability to provide information in usable formats
Application Process and DeadlineIn order to be considered, candidates must apply by Sunday 21st January 2024 at 23:55 GMT Please note, we recruit on a rolling basis so completing your application as soon as possible is encouraged To be successful to join the programme you will:
  • Submit an online application with cover letter by the above deadline
  • Complete the full recruitment process which includes online testing, 1st stage telephone interview and an assessment centre

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