Senior Associate/AVP/DVP/VP/SVP/AD - Credit Analysis - Bank

Machine is a ground-breaking fintech platform that enables lenders across the world to solve the unsolved and difficult problem of providing complex loans to the SME market in a scalable manner. The platform allows for this by leveraging its proprietary data, technology, and process capabilities.

The challenge we are addressing is one which affects many small and medium-sized organizations across the world. Impacted businesses typically have revenues between $5m and $100m, and are trying to raise sub-$20m in debt financing. Today, these businesses are being underserved by the banking sector due to both the complexity of underwriting and the costs associated with loans of this size. In other words, it is too - expensive- for big banks and debt funds to fulfil the necessary diligence and servicing requirements at this debt quantum, particularly in a custom fashion, so they simply don- t do it. The machine takes a wholly different approach to solving this problem. Machine aggregates client and external data and applies machine learning algorithms to enable lenders to structure more bespoke/complex facilities, make better credit decisions and proactively monitor their portfolios. Additionally, Machine provides turnkey cloud-based banking infrastructure with the capability to book and maintain loans with complex structures and fees. The platform also provides the people input to support lenders across banking functions enabling lenders to focus on deal origination and decision making.

Machine has been proven in the UK, its first installation. Within 20 months, a company built a $850m loan book and a qualified pipeline of $900m by leveraging Machine. It expects to grow its loan book sevenfold by 2020, reflecting both the size of this underserved market and Machine's ability to scale tailored business lending.

Current team constitutes the brightest minds in the space of data science, artificial intelligence, credit analysis and software engineering. We are an international team with backgrounds from leading institutions in both technology and finance such as Palantir Technologies, Moody- s, Amazon, Intel, Goldman Sachs, and McKinsey & Company.

JOB RESPONSIBILITIES:

- Conducting detailed analysis of loan opportunities across various sectors in different geographies by integrating machine learning and data analytics with traditional financial analysis techniques

- Developing detailed credit model comprising deal details, financial statement analysis, projections, credit metrics, amongst others

- Conducting sensitivity and scenario analysis on projections - for stress testing on loans for serviceability

- Identifying deal specific covenants which can act as early warning signals while monitoring loans

- Periodic tracking of loan portfolio

- Drafting credit reports with key takeaways on opportunity; the report is in concise, easy to read format for credit committee to review and comment

- Improving on product pricing models used to ascertain the pricing of all loan deals

- Helping business development managers with opportunity prospecting

- Creating industry dashboards to act as reference point for loans to particular sector / sub-sector

- Detailed industry/market studies to understand the operating environment of the borrower

DESIRED SKILLS

- Financial/credit modeling

- Diligence on company/sectors

- Credit paper writing and credit reviews

- Covenant analysis and setting

- Review and analysis of customer assumptions/ budgets/forecasts

- Benchmarking companies against its peers in the industry

- Scenario analysis and stress testing of assumptions

KEY ATTRIBUTES

- Personal drive (proactive), flexible, creative (thinks out of the box), result driven, responsible, curious, team player and fast learner

- Hands on attitude, willing/capable to understand the big picture.

- Ability to succeed in a culture where change and speed are part of daily work.

ACADEMIC QUALIFICATION

MBA/PGDM/CA/CFA from a reputed/Tier 1 institute with 8+ yrs experience in credit/financial analysis and report writing