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Associate MRM Predictive Modelling

3.00 to 6.00 Years   Mumbai City   16 Jun, 2020
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

* Mumbai Model Risk Management Machine Learning Quant Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firms employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Department Profile The cornerstone of Morgan Stanley s risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley s capital base and franchise. Risk Management protects the firm from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties. Position Overview:

  • Morgan Stanley is seeking Associates / experienced Analysts to join a fast-growing team in Model Risk Management, within Firm Risk.
  • These high-visibility positions will be important strategic additions to a global team, focusing on the model risk oversight of Wealth Management models. These award-winning models use sophisticated statistics and machine learning techniques.
Primary Responsibilities
  • Perform and validation of predictive models in a variety of asset classes and product categories
  • Participate in ongoing statistical/machine learning/deep learning research initiatives
  • Develop computer code in R/Python/Perl or similar languages and interface with Firm s databases to support above mentioned initiatives
  • Build interactive web applications
  • Work on Bank Model Risk projects and analyses
Skills Desired
  • Experience working in financial modelling, model risk, model control, or similar function in an investment bank or large financial institution
  • Experience with bank products such as: residential mortgages, CRE, wholesale lending, and deposits
  • Machine Learning, Deep Learning, Python
  • Experience working with data visualization packages (Tableau, QlikView)
  • Sound understanding of the key concepts of Deep Learning (DL) and experience of applying relevant DL techniques in large datasets
  • Good organizational skills
, * Qualifications Skills Required:
  • Possess Bachelors, Masters or Doctorate degree in a technical or quantitative-finance area
  • Expert knowledge of predictive modeling (linear/non-linear regression, propensity models, statistical/machine learning, etc.)
  • Strong programming (Python, C/C++, R etc.)
  • Experience with statistical/mathematical packages (R, Matlab, Mathematica, etc.)
  • Advanced problem solving
  • Have experience using popular Machine Learning or Deep Learning techniques in Python.
  • Have strong written and verbal communication skills; be comfortable debating issues and making formal presentations.
  • Have desire to work in a dynamic, team-oriented environment focusing on concerning tasks mixing fundamental, quantitative and market-oriented knowledge and skills.

Keyskills :
deep learningrisk management problem solvinginteractive web machine learningweb applications wealth managementcommercial models

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