Director - Risk Analytics & Modelling - BFSI

Risk Management

- Manage the risk, performance and exposure measurement of the existing portfolio - consisting of plain vanilla term loans, structured finance transactions, guarantees, risk participations and other funded and unfunded credit exposures as well as a nascent retail portfolio- consisting of microfinance, SBL loans originated directly on Northern Arc Capital book

- Oversee the performance management team to measure the risk and performance of underlying loans in structured finance transactions and direct origination

- Continually work on the development of new models and the maintenance and improvement of existing models for risk and performance measurement

Transaction Management

Oversee the team:

- Managing the risk estimation and evaluation of proposed structured finance transactions

- Managing the repository of structured finance transaction structures, original excel models and legal documents of all settled transactions and the process of reconciling structured finance transactions - the collections on underlying portfolio, pay-in to the SPV and payouts to the investors

- Revising future cash flows of pools and transaction cashflow to investors for securitization and other structured finance transactions on a periodic basis

- Managing the relationship with the Trustee, Originators-cum-Servicers and Investors on issues related to the collections and payments pertaining to the structured finance transactions

- Managing the pool maturity, pool clean up and transaction maturity for all structured finance transactions with the Trustee

- Managing the risk, performance and exposure reporting framework for daily, weekly, monthly and quarterly reporting to various stakeholders including but not limited tocredit committee, risk committee, board of directors, other teams, rating agency, and regulatory bodies

- Managing the ad-hoc reporting requirements from various stakeholders including but not limited to originators, servicers, trustees, lenders, investors, rating agencies and regulators.

Data Analytics :

- Develop statistical and machine learning models to identify credit drivers and formulate business strategy such pool selection criteria, quantifying the required credit enhancement and origination strategy

- Guide the Risk Analytics and Modelling team to adopt cutting age data analytics tools and technology to build more efficient models

- Ensure high quality data management of loan performance, borrower and originator data of own portfolio, and from other sources using appropriate database resources

Risk Mitigation - Product Development :

- Collaborate with structuring team and other internal team members to develop innovative financial structures to allow efficient risk transfer from borrowers to risk aggregators and in turn offer affordable finance to borrowers and desired risk-return to investors as well as to improvise existing structures to deliver better value to clients

- Develop, implement and maintain internal rating models to provide risk-based rating of transactions

Research :

- Design and drive research on questions related to risk management and financial access for lowincome households and enterprises based on performance data of own portfolio, data subscribed from credit bureaus and other sources

- Document, publish, present and share the research in the form of research papers, articles, blogs, conference papers and presentations

- Collaborate with other team members to share Northern Arc Capital's understanding of the risk in sectors we work in with external stakeholders

6. SPECIFICATIONS: QUALIFICATIONS, EXPERIENCE, & COMPETENCIES:

Minimum Qualifications:

- Master's degree in a quantitative field such as statistics, econometrics, economics, mathematical finance, finance, or applied science such as physics

Minimum Experience:

- Should have a minimum of 10-15 years of work experience in Risk Analytics preferably in financial services company in a team lead/team management role

Skills Required:

- Must have sound understanding and thorough working knowledge of financial risk management frameworks appropriate for a financial services company

- Must have in-depth understanding of structure finance products such as securitization, CBOs and guarantees

- Must have strong background in probability and statistics

- Must have practical experience of developing and leading a team to develop statistical and machine learning algorithms in R/Stata/Matlab/Python and using SQL

- Should have experience in developing data driven analytics and decision-making frameworks from scratch for structured as well as unstructured data

- Must be a person looking to adopt newer technology and advanced analytical concepts for continuous innovation to solve problems and to design better risk management tools

- Must demonstrate high level of oral and written communication skills including but not limited presentations, leading meetings with different stakeholders and reporting to the Risk Committee and the Board of directors

- Must be a problem solver and should be an expert in dealing with ambiguous, amorphous and abstract business problems