At a Glance
- Tasks: Manage and execute automated workflows for high-profile client services in data operations.
- Company: Join Moody's Corporation, a leader in financial intelligence and analytics.
- Benefits: Enjoy a collaborative environment with opportunities for growth and flexible work schedules.
- Why this job: Be part of a dynamic team that values innovation and diverse perspectives while making an impact.
- Qualifications: Degree in an analytical or business-related field; relevant financial qualifications are a plus.
- Other info: Open to applicants who may not meet every requirement; your unique skills could be a great fit!
The predicted salary is between 43200 - 72000 £ per year.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We strive to create an inclusive environment where everyone feels welcome to be who they are, with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
If you are excited about this opportunity but do not meet every single requirement, please apply! You may still be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
The Assistant Director (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 Assistant Director (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 monthly service delivery cycles.
Responsibilities:
- Configure and execute complex automated workflows used in the production of SG-based client services.
- Quality assurance and validation of market data used in the production of SG-based client services.
- Contribute to maintenance and creation of new tools to improve operational efficiency on data manipulation (e.g. via Python/SQL/VBA).
- Sourcing market data using various third-party software solutions.
- Develop and maintain internal workflow processes and tools to automate service delivery.
- Quality assurance and user acceptance testing of our service delivery infrastructure.
- 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:
- Knowledge of financial service industries.
- Knowledge of financial and economic market data content.
- Experience of analysing time-series data.
- Experience of executing and delivering market data-based services in an operations environment.
- Experience using third-party market data vendor solutions (e.g. LSEG Eikon, DataStream, Workspace and Bloomberg).
- Proficient in MS Excel.
- Strong problem-solving skills.
- Strong written and verbal communication skills.
- Strong team player who builds collaborative working relationships and readily shares knowledge.
- Ability to work under pressure and deliver high-quality work to deadlines.
- Ability to demonstrate pro-active drive, customer focus and a desire to go the extra mile.
Desirable Skills:
- Knowledge of financial mathematics and quantitative/statistical analysis.
- Knowledge of database management systems and Python/SQL query construction.
- Basic knowledge of software programming.
- Basic understanding of service management best practice and processes.
The Department / Team: 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.
The Data Operations team is part of the Modelling and Calibration Services (MACS) group within the Insurance and Modelling Analytics function of Moody’s Analytics ERS. The Edinburgh-based Data Operations team currently has four full-time employees with a broad range of academic and industry experience.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, 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.
Asst Dir-Modeling Operations employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asst Dir-Modeling Operations
✨Tip Number 1
Familiarise yourself with Moody's Analytics Scenario Generator (SG) and its applications in the insurance sector. Understanding how this software works will give you an edge during interviews, as you'll be able to discuss its functionalities and relevance to the role.
✨Tip Number 2
Network with current or former employees of Moody's Corporation on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your skills in Python, SQL, and Excel, as these are crucial for the role. Consider taking online courses or working on personal projects that demonstrate your proficiency in these areas, which can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with market data analysis and service delivery in operations environments. Be ready to share specific examples of how you've successfully managed data workflows or improved operational efficiency in previous roles.
We think you need these skills to ace Asst Dir-Modeling Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Assistant Director - Modeling Operations role. Focus on your analytical abilities, experience with market data, and any relevant software skills like Python or SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Moody's Corporation. Mention how your values align with theirs, particularly around curiosity, integrity, and collaboration. Use specific examples from your past experiences to demonstrate your fit.
Highlight Relevant Qualifications: Clearly outline your educational background and any financial services qualifications you possess. If you have experience in analysing time-series data or using third-party market data solutions, make sure to emphasise this.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is accurate and presented professionally. A polished application reflects your attention to detail.
How to prepare for a job interview at Moody's Corporation
✨Understand the Role
Make sure you thoroughly understand the responsibilities of the Assistant Director - Modeling Operations role. Familiarise yourself with the Moody's Analytics Scenario Generator and how it applies to the insurance and financial sectors. This will help you articulate your relevant experience and how it aligns with the job.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis, particularly in time-series data and market data services. Be ready to provide examples of how you've used tools like Python, SQL, or Excel to solve problems or improve operational efficiency in previous roles.
✨Demonstrate Team Collaboration
Highlight your ability to work as part of a team, especially in high-pressure environments. Share specific instances where you've collaborated with quantitative analysts or software developers to achieve a common goal, as this is crucial for the role.
✨Emphasise Your Problem-Solving Abilities
Be prepared to discuss challenges you've faced in previous positions and how you overcame them. Moody's values proactive problem solvers, so showcasing your critical thinking and decision-making skills will set you apart from other candidates.