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The Role:
The Associate (Data Operations) role will involve working as part of a small team that performs a variety of operational and data collection, management and quality-assurance activities associated with the production of a large number of high-profile client services. These services are all related to the use of the Moody's Analytics Scenario Generator (SG). This market-leading software solution has a variety of applications in the insurance, wealth management and pensions sectors all of which involve the projection of a wide-range of economic and financial variables using stochastic models.
The Associate (Data Operations) will help manage, configure and execute complex automated workflows designed in-house to deliver efficient and accurate services to our clients. A core part of the role is the quality assessment of the large and varied market data sets used in the production of these services. This will often involve the ad-hoc analysis and sourcing of market data and the challenging/querying of suspect market data used in our services with various data providers. The role also involves working closely with quantitative analysts within the same team (the Modelling and Calibration Services team) who primarily focus on calibrating SG models using market data and a team of software developers who build and maintain the infrastructure used to deliver our services.
The role ideally requires an experienced market data analyst with proven service delivery skills in a demanding operations environment. A flexible approach to work scheduling is required with occasional out-of-hours / weekend work required during service delivery cycles.
Responsibilities:
1. Configure and execute complex automated workflows used in the production of SG-based client services.
2. Quality assurance and validation of market data used in the production of SG-based client services.
3. Sourcing market data using various third-party software solutions.
4. Develop and maintain internal workflow processes and tools to automate service delivery.
5. Quality assurance and user acceptance testing of our service delivery infrastructure.
6. Contributing to data-based research projects related to the production of our SG services.
Qualifications:
The candidate will have a degree (2:1 or higher) preferably in an analytical or business-related discipline. A relevant financial services qualification (e.g. IMC, Assoc PRM, working towards CFA, etc.) is desirable.
Knowledge & Experience:
1. Knowledge of financial service industries.
2. Knowledge of financial and economic market data content.
3. Experience of analysing time-series data.
4. Experience of executing and delivering market data-based services in an operations environment.
5. Experience using third-party market data vendor solutions (e.g. Refinitiv Eikon, DataStream, Bloomberg).
6. Proficient in MS Excel.
7. Strong problem-solving skills.
8. Strong written and verbal communication skills.
9. Strong team player who builds collaborative working relationships and readily shares knowledge.
10. Ability to work under pressure and deliver high-quality work to deadlines.
11. Ability to demonstrate pro-active drive, customer focus and a desire to go the extra mile.
Desirable Skills:
1. Knowledge of financial mathematics and quantitative/statistical analysis.
2. Knowledge of database management systems and SQL query construction.
3. Basic knowledge of software programming.
4. Basic understanding of service management best practice and processes.
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.
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