Complex Securities Valuation- Associate Manager

EY; Hyderabad, Pune District, Bengaluru; Vor Ort; INR 2.000.000 - 5.000.000; Vollzeit

Zusammenfassung

EY is seeking a highly skilled quantitative professional in Hyderabad to perform rigorous valuation and financial modelling. The role covers pricing derivatives, fixed income instruments, and complex securities, with emphasis on robust numerical methods and client-focused modeling.

Ideal candidates hold postgraduate finance/ economics qualifications with 4+ years in quantitative roles, and demonstrate experience in PPA, DCF, and market comparables, alongside strong communication and teamwork

Qualifikationen

• Postgraduate degree in Finance, Economics, Accounting (CA) or Business with 4+ years of related work experience.
• Masters or PhD in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, Actuarial Science or related quantitative discipline.
• Experience in valuing complex securities such as Exotic Options and Structured Products.
• 3–4 years direct experience in valuation techniques (PPA, DCF, Income Approach, market comps).
• Proficient with Python; knowledge of C++ and MATLAB preferred.

Aufgaben

• Demonstrate aptitude in quantitative and qualitative analyses of financial instruments (options, warrants, fixed income, other derivatives).
• Apply numerical techniques such as Monte Carlo simulations, lattice, and finite difference methods.
• Value instruments like IBR, ESOPs, TSR, convertible bonds, and embedded options.
• Develop valuation models and financial models from client descriptions.

Kenntnisse

Python

C++

MATLAB

Ausbildung

Postgraduate degree in Finance/Economics/Accounting/Business

Masters/PhD in quantitative discipline

Jobbeschreibung

Role & responsibilities

• Demonstrated an aptitude in the quantitative and qualitative analyses of financial instruments, including options, warrants, fixed income securities, and other derivatives.
• Knowledge of numerical techniques such as Monte Carlo simulation, lattice techniques, and finite difference methods.
• Knowledge of valuation of instruments like incremental borrowing rate (IBR), Employee Stock Options (ESOPS), Total Shareholder Return (TSR), Convertible Bonds, Bonds with embedded options etc.
• Strong derivative pricing and financial modelling skills, with the ability to create both valuation and financial models based on a description of a clients derivative financial asset or operational and financial business plan.
• Strong written and verbal communication and presentation skills.
• Identify issues and propose strategies related to the procedures executed.
• Assume a steering role in report generation and detailed financial modelling.
• Maintain and develop positive, productive, and professional relationships with EY offices globally.
• Demonstrate teamwork and responsibility with engagement team members.
• Use current technology and tools to enhance the effectiveness of services provided.
• Identify business development opportunities and assist Partners and Senior Managers on proposals and new business opportunities.
• Stay abreast of current business and economic developments relevant to our as well as the client's business.

Preferred candidate profile

• A post graduate degree in Finance, Economics, Accounting (CA) or Business with 4+ years of related work experience
• Masters or PhD degree in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, Actuarial Science or related quantitative discipline
• Minimum of 4 years of relevant experience in quantitative roles such as valuing complex securities such as Exotic Options, Structured Products etc. within global investment banks, asset management firms other financial services organizations.
• A minimum of 3 to 4 years direct experience in utilizing Valuation techniques and methodologies such as Purchase Price Allocations (PPA), Discounted Cash Flow (DCF), Income Approach, market comparable, etc. in a business valuation firm or practice or in venture capital, investment banking, commercial banking, financial research, national valuation firm or experience working in a corporate finance role for an organization, preferably for M&A activities Experience in financial modelling including experience building models from scratch in MS Excel and related software preferred
• Preferable achievement in or significant progress towards a CFA, ASA, CPA or related certification
• Wel versed with Python (Mandatory), C++ and MATLAB (Desirable)