Asst Dir-Financial Risk Management

5 months ago

Noida, India Moody's Full time

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving 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 still may 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 Analytical Services (AS) group provides an integrated suite of services and solutions to BFSI Customers. It helps organizations benefit from high-quality analytical intelligence across multiple aspects of risk management, using the latest data and models, robust, automated, and scalable processes, and deep industry expertise.

The role is a unique opportunity within the Analytics Delivery Team, a crucial part of the Buy-side solutions (BSS) business line at Moody's Analytics. This team is at the forefront of providing modern technology solutions to asset owners, consultants, asset managers, and insurers. As a member of this team, you will be responsible for delivering risk analytics, primarily for the customers of the PFaroe DB product – a valuation, reporting, and analytics platform for pension schemes. You will also have the chance to contribute to other products across Moody's Analytics, such as asset management and insurance.


Role/Responsibilities:


1) Supporting client facing technical activities in market risk (mainly Value at Risk) and Asset & Liability Modelling (ALM), particularly with focus on DB pensions. 
2) Responsible for Daily, Monthly, and Quarterly tasks, which initially include performing asset and risk valuations. 
3) Gather and review daily market data like curves and indices. 
4) Deliver portfolio valuations and client-facing activities within the Analytics Delivery Team supporting PFaroe™ DB, whilst developing technical and product-specific knowledge. 
5) Manage client portfolios, including booking portfolios and benchmarks, daily/monthly valuations of the portfolios and rebalancing, and setup Private/OTC securities 
6) Assist senior team members in areas such as technical support, training, automation of existing internal processes and production of bespoke client deliverables. 
7) Support the team in maintaining and developing client relationships, responding to client queries, and creating documentation.


Qualifications:


REQUIRED: 

1) Bachelor's or master's degree in finance or equivalent degree with a keen interest in modeling financial assets, risks, and ALM.
2) Knowledge of market risk and ALM.
3) 7+ years of experience with a financial institution (e.g., within within Investment, Pensions, or Insurance consultancy. 
4) Strong knowledge of various investment types such as fixed income, alternatives, derivatives (i.e., Swaps, Options, Forwards, Futures, etc..), and equities.
5) Knowledge of financial modeling (e.g., discounted cashflow modeling, interest-rate modeling, derivative pricing, etc.)
6) Proficiency in Excel with coding experience.
7) Certified CFA, FRM, PRM, or related professional qualification is advantageous. 
8) Individuals must be organized, dependable, able to multi-task and manage priorities, display initiative, and can work independently in a demanding, fast-paced environment. 
9) Good organizational, communication (verbal & written), and interpersonal skills are required. 
10) Candidate should have the ability to transition as priorities change to meet demands. 
11) Ability to work to demanding timescales while maintaining high standards.


PREFERRED:

1) Experience on SQL, R, Python coding.
2) Knowledge of UK regulations on financial instruments.

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.

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