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Senior Associate

2.00 to 5.00 Years   Mumbai City   03 Jan, 2023
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

    * TEAM Quantitative Research & Model Review LEVEL Associate / Senior Associate LOCATION Mumbai SALIENT FEATURES Requirements Required Yes / No People Management No Global Stakeholder Management Yes Leadership Role for Strategic Projects within function No Global Lead / Lead for a function with concentration in India (as % of Global) > 70% No Technical expertise required (market knowledge, specific systems, regulations etc.) Yes Programming Skills (Python, R, SQL, etc.) Yes Mathematics / Statistics strong knowledge Yes DEPARTMENT PROFILE Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $1.4 trillion in assets under management or supervision as of June 30, 2022. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide. Description of Role The Quantitative Research & Model Review group of Morgan Stanley Investment Management is looking to fill a position, at the Associate / Senior Associate level. Key responsibilities The candidate will be responsible for quantitative research supporting model enhancements, model documentation and testing. It covers full suite of models built or used across asset classes for research, portfolio construction, risk management, valuation and other supporting quantitative analytics across the business. The individual will be responsible for the following
    1. Support model documentation on risk, portfolio construction, research and vendor-based pricing analytics
    2. Act as an informed resource on useful research and supporting model development and testing across Equities, Fixed Income/Liquidity, Multi-Asset and Fund of Funds
    3. Support investment teams in ensuring models meet regulatory requirements related to quantitative modelling
    4. Identify and prototype enhancement opportunities to existing models
    5. Work with model owners to improve testing and ongoing monitoring capabilities to improve controls around model s limitations
    6. Work with colleagues to interpret regulatory guidance on model risk management, including OCC 2011-12 and SR 11-7, to establish and maintain appropriate policies and procedures
    7. Balance strong, innovative research skills with the practical ability to implement workable solution to problems
    8. Assist in model identification, model reviews and model inventory process
    9. Be a team player with the ability to work effectively with colleagues to deliver state of the art analytics in a timely and efficient manner.
    , * Required Education and Key Skills
    1. MBA or Master s Degree in fields such as Mathematics, Statistics, Engineering, Econometrics, Finance or Operations Research; Or Bachelor s degree with exceptional academic records can also be considered
    2. 2 - 5 years of experience in the financial services industry in a quantitative field, preferably with experience in model documentation, model development/review, risk modeling and portfolio optimization
    3. Publication in peer reviewed academic/practitioner journals is a plus
    4. Strong programming skills in at least one language such as Python, R, SAS, Matlab and S+ and familiarity with database systems such as Sybase using SQL
    5. Familiarity with vendor risk systems such as RiskMetrics, BlackRock, MSCI/Barra, Yield Book, Barclay s POINT, SunGard APT
    6. Excellent communication skills
    7. Driven, highly motivated and results focused
    8. Ability to operate autonomously, as well as be an effective member of a broader team
    Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

Keyskills :
customer relationswork effectivelymodel developmentinvestment advisoryequal opportunitiesquantitative researchinvestment managementquantitative analytics

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