Description de l'emploi

Niveau d'expérience: Experienced Hire

Catégories:

  • Corporate Services

Emplacement(s):

  • Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN

The Role:

Team Lead - Financial Data & Analytics performs a range of data, analytical and research work that serve as inputs to Moody’s ratings, as well as process improvement and has mentorship responsibilities. Prospective candidates will have an in-depth understanding of structured finance as well as a good understanding of capital markets. The ideal candidate for this role will possess strong organizational skills, demonstrate attention to detail as well as their ability to work effectively in a collaborative team environment.
Being part of the Data & Analytics function provides a unique opportunity to foster skills that are valuable to any future career in the financial services industry. This will be an internally facing role, reporting into the team manager
Responsibilities:
Lead projects supporting data, ratings, research, analytical outreach and apply specialized technical knowledge to guide junior team members and lead process improvements.
* Serve as a Process Owner for one or more Data & Analytics process:
o Responsible for process re-engineering and process improvements. Utilize expertise to identify inefficiencies, suggest improvements, build consensus and implement the change.
o Responsible for end-to-end delivery of select business as usual (BAU) tasks such as complex data, research, and data processing for use in models.
o Independently interact with stakeholders to deliver accurate and timely deliverables, especially of complex and non-standard tasks.
* Provide technical and process guidance to junior team members related to:
o Methodology updates and components of credit ratings and their application to projects for which they are responsible
o Perform various data intake tasks, including scrubbing, validating data for further use in research and ratings.
o Project management and stakeholder management
* Train new hires and mentor team to perform work (such as spreading, credit opinions components, etc.).
* Coordinate allocation of work across the team and mange workload pipeline to provide sufficient time for completion.
* Provide feedback to the manager on quality and accuracy of work produced by team members while providing constructive and proactive feedback
* Undertake initial reviews or quality assessments of other team members work for select complex tasks, and address improvement areas through feedback or training
* Lead projects or participate in working groups. For example, analyze impact of methodology updates onto team’s processes and leading the implementation; partnering with other departments to move work into ROC, building well-defined processes and output targets.

Skills:
Credit:
* Understand and identify key risk factors with limited guidance for most tasks
* Working knowledge of applicable methodologies
* Proficient in many technical and operational aspects of assigned deliverables
Stakeholder Management:
* Interact with lead and support analysts to resolve complex issues
* Interact with other team managers to resolve/ clarify straightforward issues
Project Management:
* Manage more than one project independently
Qualifications:
* Bachelors/Masters in Engineering, Finance, Economics or Business/Accounting
* Relevant experience of 4+ years in credit/financial data analysis and interpretation, and managing projects independently; experience in structured finance will be an added advantage
* Strong organizational skills, dependable and able to multi-task and manage priorities
* Excellent Microsoft Office skills, in particular advanced Microsoft Excel skills
* Fluency in English with excellent written and verbal communication skills; excellent interpersonal skills
* Language skills may be required for certain positions

Instructions de demande

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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