Overview
- Entry Level to Experienced Careers at Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
Morgan Stanley Careers Opportunities for Graduate Entry Level to experience level role, Morgan Stanley Jobs Openings for Graduate, Morgan Stanley Jobs Vacancies in 2023, Morgan Stanley Graduate Program 2023, Morgan Stanley Recruitment 2023
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.
Entry Level to Experienced Careers at Morgan Stanley
Analyst – Portfolio Specialist – Global Multi-Asset – USA
Work alongside the Global Multi-Asset research and investment team to understand the team’s investment outlook and investment rationale behind portfolio positioning; communicate investment outlook and rationales to existing and potential clients in writing.
Draft accurate and timely written responses as well as compile risk, positioning, and performance data in response to queries from existing and potential investors.
Assist with writing weekly, monthly and quarterly performance and portfolio positioning reports for existing clients.
Gather, review and apply data from internal and external sources to support ongoing and ad hoc client reporting requirements.
Serve as liaison within MSIM to Performance, Legal, Compliance, Risk, Trading and Operations teams to ensure successful coordination and maintenance of institutional client accounts and prospective new business opportunities.
Oversee the gathering and explanation of data and investment process required in Request for Proposals (RFPs) and other questionnaires.
Play key role as liaison between GMA team and Sales & Marketing departments, updating and customizing marketing materials for global asset gathering opportunities and serving as resource for inquiries.
Assist with analytics such as performance and risk attribution.
Perform competitor analysis and market research as needed.
Perform related duties as assigned.
Qualification:
An undergraduate in business, finance or other related field; 0-2 years of experience in the asset management or brokerage industry, in an investment, research or marketing capacity preferred.
Strong quantitative skills and experience in use of Microsoft Excel, PowerPoint and Word.
Ability to communicate effectively both verbally and in writing; understand and distill complex concepts clearly and understandably.
Team player who enjoys working with others and reaching out proactively throughout the firm to gather information; consensus-builder.
Self-starter with drive to be successful and ability to manage and execute simultaneous projects and tasks without reminders.
Strong attention to detail.
Expected base pay rates for the role will be between $75,000 and $120,000 per year
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Associate – Data Integrity Group – India
Job Responsibilities:
The Data Integrity Group continuously strives to keep the business division’s contact (individual), client (company) and employee coverage database correct and up-to-date. They assist with data maintenance, cleansing, mining, pooling and mapping efforts.
Researching corporate actions and taking necessary steps to realign firm systems / reports after co-ordinating with sales / business divisions, IT teams and Operations
Managing workflow tools, data integrity reports, CRM requests, user queries, etc
Keeping contact database updated with contact moves, departures, mass address & telecom changes, etc
Validating and setting up clients in Firm’s customer relationship management (CRM) systems
Interaction / follow-up with MS sales representatives
Composing & sending apt and properly worded communiqué requesting information, reporting errors & problems, responding to queries, etc
Cleanup of Closed and Off-boarded clients
Qualification:
0-2 year experience – Graduate (BCOM/BMS)
Knowledge of MS Excel, MS Word, MS Outlook, etc
Excellent written and spoken English
Attention to detail, quality and accuracy
Good analytical skills
Team player
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Analyst/Associate – Credit Risk Modeling (Risk Analytics) – India
Job Description
Risk Analytics has an opening for an associate-level person to work on model development. The successful candidate will work extensively with credit risk models involving IRB approaches, CCAR and CECL. The successful candidate will have strong analytical skills, an excellent work ethic and a high degree of interest in both quantitative and non-quantitative aspects of financial risk management.
Qualification:
Up to 10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field.
Prior work experience with credit markets and products. Prior work experience in a bank credit-related department. Examples include credit trading, origination, underwriting, leveraged finance, CVA.
The candidate needs to be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al.
Understanding of financial institutions regulatory frameworks. Examples include IRB, CECL, CCAR, Dodd-Frank and Basel.
Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
Strong knowledge of financial products e.g. MBS, CRE, Bonds etc.
Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred.
Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
Attention to details and ability to work under pressure and cope with a fast moving environment.
Required Qualifications
Graduate/Under-graduate/Post Graduates/ Advance degrees in finance, mathematics, physics econometrics, engineering or other quantitative subjects.
Candidates should have a strong theoretical foundation in mathematics, quantitative finance and derivatives.
Knowledge and hands-on experience in programming languages.
Desirable:
PRM/FRM, CFA, CQF certification is an advantage.
Quantitative modeling experience in Finance/ Data Science
Knowledge of risk mitigation practices and experience with Basel II/III/IV rules will be considered advantageous.
Experience in AI, ML, NLP, Big Data Analytics, Tableau is an advantage.
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Associate/ Sr. Associate – MSET Support Role-[Institutional Equity Division] – India
Job Description:
Management / maintenance of MSET risk limits
Reviewing limits across different cash and derivative products
Development and maintenance of risk exception reports
Monitoring intraday limit changes and flagging exceptions to MSET Coverages
Coordination of weekly Client Selection Committee meetings
Risk limit policy monitoring
Maintenance of MSET Client types
Development and coordination of periodic reviews of lower value clients, coordination of off-boarding where necessary
Creating Monthly Risk decks ahead of the Risk Limit Review meeting
Skills required (essential)
The basic skills required for the role are the ability to learn quickly how to navigate databases, manipulate data from these confidently in Excel and respond to requests promptly. Whilst specific knowledge of the Cash Equities business is not critical an understanding of the product and the trading risks associated would be an advantage.
Qualification:
We are looking for a confident and outgoing person, who has exceptional attention to detail and is proactive in taking initiative.
BMS/Graduate with 1 – 3 years of experience. MBA would be advantageous.
Exposure/knowledge of different equity and equity derivatives products is desirable.
Excellent written & spoken English; Excellent business writing skills
Excellent telephone skills (regular phone contact with team required)
Advanced knowledge and extensive hands‑on experience with Microsoft Office – Word, Excel including macros and visual basic (preferable).
Familiarity with Business Objects (BOXI) database in terms of being able to run queries and pull information.
Familiarity with databases, and the ability to manipulate/analyze data confidently
Strong analytical skills
Attention to detail
Team work
Problem solving