• Associate - Model Risk - Risk & Capital Models Jobs in Mumbai,India - 23834427

  • Morgan Stanley Pvt Ltd
  • Save Job
  • 3 - 5 Years
  • Posted : above 1 month

Job Description:

Associate - Model Risk - Risk & Capital Models

Job Number 3132518

Primary Location Non-Japan Asia-India-India-Mumbai

Job Risk Management

Employment Type Full Time

Job Level Associate

Description

Mumbai Model Risk Management Associate for Risk & Capital Models

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 Our 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 We 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 Stanleys risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects our capital base and franchise Risk Management protects us from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties

Background on the Position

We, at Morgan Stanley, are establishing a new Model Risk Management (MRM) team within our Mumbai office Our Global MRM team is broadly responsible for the risk management of all of our models involving model validation, risk assessment, and governance

We are seeking you to be a member of this new team, responsible for the review, validation and risk assessment of models used both in risk management and capital planning This position focuses on identifying and mitigating model risk involving financial crime or fraud detection

Primary Responsibilities

You would

Engage in quantitative model review and risk assessment of risk and capital models

Follow regulatory trends and the evolution of AML and fraud trends, taxonomies, and schemes

Write model risk management findings in technical documents that will be presented both internally (model developers, business unit managers) as well as to regulators

Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management

Coordinate teams tasks and escalate issues in a timely manner

Qualifications

Skills required (essential)

You must

Possess Bachelors, Masters or Doctorate degree in a technical or quantitative finance-related area

3-5 years experience with banking compliance/AML/fraud prevention or testing

Experience covering (preferably at a financial institution)

Transaction monitoring systems

Customer due diligence and/or risk scoring

Have exposure to and experience in financial markets, products and businesses

Have 1-5 years of work experience in a bank or financial institution

Be familiar with popular machine learning techniques

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

Skills preferred

ACAMS certification (or achieve certification within first year with MRM)

Demonstrated knowledge of anti-money laundering (AML) rules, regulations, best practices and typologies

Data science, machine learning/artificial intelligence, Python

Experience working with data visualization packages (Tableau, QlikView)

Qualifications

Mumbai Model Risk Management Associate for Risk & Capital Models

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 Our 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 We 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 Stanleys risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects our capital base and franchise Risk Management protects us from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties

Background on the Position

We, at Morgan Stanley, are establishing a new Model Risk Management (MRM) team within our Mumbai office Our Global MRM team is broadly responsible for the risk management of all of our models involving model validation, risk assessment, and governance

We are seeking you to be a member of this new team, responsible for the review, validation and risk assessment of models used both in risk management and capital planning This position focuses on identifying and mitigating model risk involving financial crime or fraud detection

Primary Responsibilities

You would

Engage in quantitative model review and risk assessment of risk and capital models

Follow regulatory trends and the evolution of AML and fraud trends, taxonomies, and schemes

Write model risk management findings in technical documents that will be presented both internally (model developers, business unit managers) as well as to regulators

Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management

Coordinate teams tasks and escalate issues in a timely manner

Qualifications

Skills required (essential)

You must

Possess Bachelors, Masters or Doctorate degree in a technical or quantitative finance-related area

3-5 years experience with banking compliance/AML/fraud prevention or testing

Experience covering (preferably at a financial institution)

Transaction monitoring systems

Customer due diligence and/or risk scoring

Have exposure to and experience in financial markets, products and businesses

Have 1-5 years of work experience in a bank or financial institution

Be familiar with popular machine learning techniques

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

Skills preferred

ACAMS certification (or achieve certification within first year with MRM)

Demonstrated knowledge of anti-money laundering (AML) rules, regulations, best practices and typologies

Data science, machine learning/artificial intelligence, Python

Experience working with data visualization packages (Tableau, QlikView)

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry :
  • Banking -General
  • Functional Area : Banks/Insurance/Financial Services
    Role :
  • Salary : As per Industry Standards
    Deadline : 15th Apr 2020

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