Data Scientist (Climate Change)

Employer
Moody's Investors Service
Location
London, Arkansas, US
Salary
Competitive
Posted
Jul 21, 2021
Closes
Aug 02, 2021
Ref
2331941094
Discipline
Climate Change
Employment Type
Full time
Salary Type
Salary
Data Scientist (Climate Change) - London - 21709BR

Moody's Analytics - Predictive Analytics OU (EAAS OU)

Credit Analysis & Research - Research

Regular - Experienced Hire

Moody's (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody's combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com .

Moody's Analytics provides financial intelligence and analytical tools supporting our clients' growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today's business leaders confidently navigate an evolving marketplace.

Department Predictive Analytics (Economics as a Service)
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.

Job Description We are looking for a climate scientist to join our Moody's Analytics risk analytics research team. In this role, you will engage in leading key research projects to develop credit risk and other products that incorporate the impact of climate change. Being a part of truly global Moody's Analytics team, climate change modelers have an opportunity to contribute to diverse projects in every phase, including data analysis, methodology design, model development and enhancement, documentation writing, results delivery and interpretation. We are looking for collaborative, highly motivated individuals with strong quantitative and communication skills, willing grow and develop in a very dynamic and multicultural environment.

  • Contribute to the development of internal initiatives in on climate change.
  • Engagement with senior internal and external stakeholders
  • Climate risk modelling, including the development, implementation, and validation of credit risk models using state of the art statistical and econometric techniques;
  • Econometric modelling and coding.
  • Explore large structured and unstructured datasets for new product development.
  • Build analytical tools supporting product development decisions.
  • Work in a cross-functional environment. Conduct ad-hoc data analysis and provide technical assistance for strategy and other client-facing teams.
  • Documentation, including model specification, estimation and validation.
  • Client satisfaction, including speed and quality of responses to our clients.
Deliver presentations and workshops for various audiences, internal and external. Qualifications
Qualifications:
  • Strong academic background - PhD or MA/MS in Statistics, Mathematics, Data Science, Physics, Economics, and Finance or related subjects.
  • Experience in credit risk modelling and/or in-depth statistical analytics.
  • Strong background in quantitative modelling and econometrics are expected.
  • Knowledge of quantitative techniques and the ability to communicate technical subject matter clearly and concisely.
  • Experience working with large datasets from multiple sources and vendors.
  • Advanced programming skills in software such as R, SAS, Python, and/or SQL or a similar statistical software.
  • Strong analytical and organizational skills.
  • Excellent written and excellent communication and organisational skills.
  • High-level interpersonal skills and the ability to build strong professional relationships at all levels
  • A bility to communicate technical content clearly and concisely to non-technical audiences.
  • The successful candidate will also possess the following qualities:
    • Adaptable
    • Strong attention to detail
    • Effective time manager
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.