Senior Associate - Credit Risk

BDO India; Mumbai City; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

BDO India seeks a Senior Associate - Credit Risk in Mumbai to lead and manage consulting engagements for banks, NBFCs, and insurers. You will supervise PD/LGD/EAD modelling, IFRS 9, ECL computations, and stress testing, while mentoring delivery teams and coordinating with business unit leaders on engagements.

The role requires advanced analytics skills, experience with SQL/SAS/Python/R, and a strong ability to communicate complex findings through reports and presentations.

Qualifications

• Advanced degree in Finance/Economics/Statistics/Data Science or similar.
• Experience with credit risk modelling and analytics.

Responsibilities

• Independently lead and manage consulting engagements with banks, NBFCs, insurers and corporates.
• Cover areas such as ICAAP reviews, IFRS 9 model development, ECL computation, provisions.
• Demonstrate knowledge of loan products and their characteristics.
• Lead day-to-day execution of client projects.
• Mentor delivery team and expand upskilling.
• Design and monitor detailed project plans.
• Provide updates to business unit leader on engagements.

Skills

SQL

SAS

Python

R

Data management

Consulting

Project leadership

Communication

Education

Masters/PhD in Finance, Economics, Statistics, Data Science

Job description

Senior Associate - Credit Risk

Location: Mumbai (Lower Parel)

Essentials:

• Candidate with a right mindset to grow with the firm. We need candidates who can align themselves with the growth trajectory of the firm.
• Ability of multi-task, challenge the status-quo, quick learners

Role:

• Independently lead and manage consulting engagements with leading banks, financial institutions, NBFCs, insurance companies and corporates covering areas such as ICAAP reviews, IFRS 9 model development, ECL computation, enhancing the approach to ECL and provisions along with other credit risk areas
• Demonstrate knowledge to banking, NBFC, corporate and insurance companies on various loan product and their characteristics including wholesale loans, auto loans, personal loans, mortgage finance, education loans, etc.
• Demonstrate knowledge of concepts related to default and recovery rate modelling including roll rate analysis, periodic default rates, statistical methods including regression models, Markov chains, etc.
• Lead and drive day-to-day execution of client projects.
• Lead hiring and mentoring initiatives to expand and upskill execution and delivery team for engagements
• Design and monitor detailed project plans for assigned engagements
• Directly report and provide detailed updates to business unit leader for all assigned engagements on an on-going basis

Requirements:

• Advanced Degree: Masters/PhD in Finance, Economics, Statistics, Data Science, or similar.
• Certifications: FRM, CFA, PRM, or equivalent.
• Credit Risk Modelling: Experience with PD, LGD, EAD, IFRS 9, ECL, and stress testing.
• Model Development/Validation: End-to-end experience with model development/validation lifecycle.
• Technical Skills: Proficiency in SQL, SAS, Python, R.
• Data Management: Experience handling large datasets for modelling.
• Consulting/Project Management: Stakeholder and team management.
• Communication Skills: Strong report writing and presentation skills.
• Leadership: Ability to lead teams, provide technical guidance, and mentor.