Specialist – Credit Valuation & Portfolio

Xperthunt

Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+
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Job summary

A financial services company in Bengaluru is seeking a professional for valuations involving financial models and analytics. Candidates should have 4-6 years of experience in finance or economics, with strong skills in financial modelling and compliance. The role involves collaboration with internal and external stakeholders and offers an opportunity to enhance valuation methodologies. Ideal for self-directed individuals keen on new challenges.

Qualifications

  • 4-6 years of experience in valuations, preferably in private credit valuation.
  • CFA or other relevant professional certification is a plus.
  • Understanding of data science tools and relevant programming languages is a plus.

Responsibilities

  • Develop financial models for valuations using accepted and relevant approaches.
  • Ensure compliance with laws, regulations, and policy.
  • Organize and manage valuation committees with senior management.

Skills

Financial modelling
Analytical skills
Interpersonal skills
Communication skills
Technology skills
Data science tools knowledge

Education

Degree in Business, Finance, Mathematics, Economics, Accounting, Statistics

Tools

Power BI

Job description

Key Responsibilities:
  • Understanding economics and value drivers underlying each position of the fund. Identify key valuation drivers and assist in establishing valuation frameworks.
  • Developing financial models for valuations using accepted and relevant approaches in compliance with relevant industry‑specific guidance.
  • Handle analysis of valuation‑related information including reviewing financial statements, credit reports and cash flow models.
  • Ensure there are consistent methodologies and efficient processes in place for valuations with proper documentation.
  • Build highly flexible and versatile asset‑to‑asset financial models rolling up to the portfolio to monitor portfolio positions, returns and scenarios.
  • Build fund accounting models feeding from the portfolio model to enable monthly reporting processes.
  • Organize and manage valuation committees alongside managing interactions with the senior management team.
  • Update valuation policy and associated governance framework as relevant.
  • Work with internal and external stakeholders on all valuation‑related matters within the Private credit investments including financial control, risk and external auditors.
  • Assist with the review and challenge of externally performed valuations.
  • Ensure compliance with relevant laws, regulations, and policy (including reporting compliance risks and maintaining appropriate standards of conduct).
  • Overseeing the audit planning process, providing support and analysis to external audit teams, and assisting with the management of the annual audits relating to valuations.
  • Build a reporting platform using Power‑BI or any other visualization tool.
  • Assist with implementation of various technological tools associated with the business.
  • Get exposure to venture/growth valuations stream depending on business needs.
Key Requirements:
  • Strong academic background in Business, Finance, Mathematics, Economics, Accounting, Statistics, or a related field.
  • 4‑6 years of experience in valuations, preferably in private credit valuation.
  • Excellent financial modelling skills.
  • Highest standards of professionalism, integrity, honesty, and reliability.
  • Strong analytical skills in understanding the driving factors for credit valuations and overall economics of the credit assets.
  • Good knowledge of global fund and corporate vehicle structures.
  • Strong collaborator with excellent interpersonal, communications, analytical and technology skills.
  • Keen to learn and take on new challenges in a fast‑paced work environment.
  • Being an independent and self‑directed person, able to manage tasks effectively and complete tasks within agreed timelines.
  • CFA or other relevant professional certification is a plus.
  • Understanding of data science tools and relevant programming languages is a plus.
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