565 Banking Risk jobs in India

Roles and Responsibilities

Roles and Responsibilities :-

• Basel 3 Reforms Credit Risk regulations knowledge
• Good communication skills
• MAS / HKMA / BNM regulation
• Moody's Risk Authority(RAY) (experience in converting regulations into system requirements)
• Worked in KPMG / PWC / other big consultancy firms etc.
• Collaborating with IT/DEV
• Worked on SQL
• Performed in depth data analysis
• Implemented Credit Risk
• Discussion for the data gathering
• Configured the data mapping rules
• gather and analyze business requirements
• Interpreted and translated Credit Risk regulations Basel 3 Reforms / Basel 4
• Variance analysis
• Credit RWA (Risk Weighted Assets), Loss Given Default (LGD), Probability of Default (PD)
• Standardized Approach (SA) and Internal Ratings-Based Approach (IRB)

Key Responsibilities:

Qualifications: 

Skills:

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at /careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. 

As a Credit Risk Associate within the Risk Management team, you will play a pivotal role in supporting the firm's growth by proactively identifying, assessing, and managing emerging risks. Your expertise in high-quality credit analysis and statistical model development will be crucial in estimating, monitoring and managing credit risk for TCIO’s (Treasury and Chief Investment Office) fixed income portfolio, which encompasses a diverse range of securitized and non-securitized asset classes. 

Job responsibilities 

Required qualifications, capabilities, and skills 

Preferred qualifications, capabilities, and skills 

Knowledge of regulatory modeling (CECL / CCAR /IFRS9) 

Proficiency in advanced analytical languages such as Python, R 

Key Responsibilities:

• Perform comprehensive credit risk evaluations of corporates, especially within the financial services domain (NBFCs, fintechs, corporates, etc.).
• Analyze financial statements, business models, and sector-specific risks to assess creditworthiness.
• Conduct in-depth due diligence, including participation in business meetings with promoter/management, discussions with rating agencies, site visits, and thorough industry analysis.
• Stay abreast of regulatory changes impacting the financial sector or current portfolio (e.g., RBI, SEBI guidelines).
• Collaborate with business, Risk and compliance teams timely evaluation for credit call.
• Recommend risk mitigants tools and develop model for recurring credit development, provide live feeds, Update and approval from IC/CC members
• Support the development of sector-specific credit frameworks and risk appetite statements. Understanding debt instruments / fixed income product.
• Updated current bank/rating agency credit risk models understand market sources tool for credit analysis.

Required Skills & Qualifications:

• Bachelor's/Master’s degree in Finance, Economics, Commerce, or related field. CA/CFA/MBA preferred.
• 3–8 years of experience in credit risk assessment, particularly within the financial sector.
• Strong understanding of financial statements, cash flow analysis, capital structure, and regulatory frameworks.
• Knowledge of RBI regulations and sector-specific nuances in banking, NBFCs, Corporates and other financial institutions.
• Proficiency in financial modeling, risk scoring, and credit rating methodologies.
• Excellent analytical, communication, and presentation skills.
• Experience in conducting ground-level due diligence and client interactions.

Credit Risk

Location - Bangalore, Hyderabad, Mumbai, Pune, Gurgaon

Notice - Immediate to 60 days

Experience - 3+ years

Overview PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE), is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning.

Credit Risk Analytics Professional Job Specification:

Candidate would be responsible for developing, validating, auditing and maintaining credit risk models. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.

Core Skill Requirements

Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, credit risk management, or related field at a reputed bank, investment or broker services, asset management firm, Insurance provider or a consulting firm. Wider skill requirements include:

• Experience in Credit Risk Modeling PD/LGD/EAD – TTC, PIT, Stressed and unstressed portfolio
• Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant)
• Knowledge of one or more of global regulatory norms - CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR-11/7, E-23 around data sufficiency, modeling methods, industry standards etc.
• Well versed with one or more statistical techniques used in credit risk modeling – Logistic Regression, Time series, OLS, Probit models, Survival techniques, Tobit, Fractional Logistic, Beta model, State Transition Matrix, Single Factor Merton model etc. Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. will be a plus
• Proficiency in one or more analytical tools such as SAS, R, Python, Matlab, Scala, VBA etc. Experience in Data Science and cloud based analytics platform will be a plus
• Understanding of credit risk metrics like RWA, Expected loss, Regulatory and Economic capital, OTTI, Watchlist, Asset quality etc.
• Conceptual understanding of the data and methodology used for credit risk regulatory models
• Leveraging experiential know-how of a wide range of loan types, including C&I, CRE, RRE, ABL, Leasing, Credit Card, Vehicle, Personal etc.
• Prior experience in domains like commercial banking, retail banking, treasury, investment management and strong knowledge of risk data analysis and development, strategy design and delivery deployment.
• Vendor Experience

o Experience in bureau data from credit unions e.g. D&B, Experian, Equifax, Transunion

o Experience in vendor models and ratings like Fitch, Credit pro, Moody etc. o Knowledge about external / benchmark models on consumer portfolios is a plus (FICO Score, Standards and Poor's, Fitch or Moody's Ratings) o Selecting, implementing and/or using commercial credit risk workflow, analytics- e.g., Moody's KMV, S&P and/or, reporting technologies- e.g., Oracle, Cognos, et al.

Non-functional skill requirements:

In order to succeed in PwC Risk CoE, it is desirable for candidates to possess:

• Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business
• Excellent oral and written communication skills
• Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
• Process orientation with strong technical skills and attention to detail
• Deep technical capabilities and industry knowledge of financial products
• Willingness to travel to meet client needs, as needed

Educational Background:

Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus

Additional Requirement for Senior Positions:

Candidates aspirant of senior positions at PwC Risk CoE are expected to possess:

• Proven consulting skills to structure vague problems at hand and conceptualizing solutions
• Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently
• Experience in supporting sales pursuits for risk analytics offerings and solutions
• Ability to manage multiple engagements simultaneously along with leading people and initiatives
• Strong conceptual understanding of various functional/technical skills
• Ability to drive innovation and thought leadership in the risk management domain
• Intellectual property, patents and exclusive rights on any innovative solution is a plus