Ma Risk Intern

Singapore, Singapore

Job Description


Moody\'s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don\'t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.
Moody\'s is a global integrated risk assessment firm that empowers organizations to make better decisions.
At Moody\'s, we\'re taking action. We\'re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We\'re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity
Department

The Predictive Analytics group transforms our data into state-of-the-art analytics to help clients make better decisions in the face of uncertainty. Our clients come from a wide range of industries such as banking, insurance, commercial real estate and many more. They use our economic research to evaluate credit-worthiness, to monitor risks and opportunities when weighing up major investment decisions as part of their corporate strategy. Our team is made up of intellectually curious economists, data scientists, and IT professionals who combine technical skills with a strong desire to understand clients\' needs.

Role

Our team is directly involved in the development of analytical solutions, including credit risk metrics, supply risk, interest rate risk, liquidity risk, ESG risk and integrated risk. Our data scientists contribute to projects in every phase, including data analysis, methodology design, model development and improvements, documentation writing, results delivery, and interpretation.
We are looking for a candidate to join our Predictive Analytics (PA) Operating Unit (OU) team to support research, customer success and business development in the APAC and Middle East region. As the expert in our analytical solutions, including credit risk, ESG and climate risk, you will represent Predictive Analytics\' risk modelling expertise in the region, working with teams across and outside of our OU as well as local sales team.
You will be involved in our research innovations and local client-facing activities that include technical aspects to maintain high level of value perceived in our products. These include planning and developing content for thought leadership, promoting our solutions in local webinars, events, research papers and case studies.
Responsibilities

  • Work with PA Research and Modelling team to design research innovations for a wide range of analytical solutions using innovative traditional and sophisticated machine learning methodologies.
  • Serve as the region\'s subject matter expert for PA analytical solutions to develop positive relationship of advocacy and trust with local customers.
  • Deliver presentations for various internal and external audiences and write research papers and articles to demonstrate the value and application of our analytical solutions.
  • Follow modern methods of the intersection of ML, econometrics and statistics, and industry best practices for risk modelling.
  • Partner closely with sales teams on efforts related to client retention and expansion of business opportunities with existing customers.
  • Provide analytical support for product strategy decisions such as product localization efforts and data exploration for regional partnerships.
Qualifications
  • Validated expertise in leading risk model design using Machine Learning and/or econometric modeling techniques working with large datasets from multiple sources and vendors.
  • Advanced programming skills in R, Python and/or SAS.
  • Prior customer facing experience is preferred but not required
  • Proven ability to communicate technical content clearly and concisely to non-technical audiences
  • Strong academic background - A Ph.D., MS or Bachelor\'s degree in Statistics, Economics, Data Science, Mathematics, Physics, Finance, or other relevant field
  • Proven track record to work in a collaborative team environment
  • Self-starter to build required content and with ability to supervise and train co-workers
  • Must be an intrinsically motivated, responsible person who can work well with others, able to operate relatively independently
  • Excellent writing, presentation, and interpersonal skills.
  • The successful candidate will also possess the following qualities:
  • Adaptable
  • Strong attention to detail
  • Effective prioritization and time management
Annual base salary gross: $5.00 Actual salaries will vary and will be based on various factors, such as candidate\'s qualifications, skills, and competencies. The salary is one component of Moody\'s total compensation package for employees. Other rewards and benefits include the following: Medical, Personal Accident, Life Insurance and Time Off.

Moody\'s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody\'s Corporation may be asked to disclose securities holdings pursuant to Moody\'s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee\'s tenure with Moody\'s.

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Job Detail

  • Job Id
    JD1399832
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned