Project Manager – Credit

2 weeks ago

Pune, India ALP (Computational Finance, AI and Data Engineering) Full time

Overview

ALP (AI-native consulting and risk analytics firm) seeks a seasoned professional (6–10 years’ experience) to lead risk and regulatory projects across banking, insurance, and investment sectors (PE/VC/funds). The role demands strong expertise in Credit & Market Risk , regulatory frameworks (Basel III/IV, IFRS 9, ICAAP/ILAAP), and hands-on experience in quantitative analytics and model development . The successful candidate will combine technical depth (Python, R, SQL) with project management skills, delivering solutions directly to senior stakeholders. CFA, FRM, or MBA credentials are highly valued.


Key Responsibilities

Credit & Market Risk Leadership

  • Lead projects on counterparty credit risk for corporate, SME, and financial institution exposures in both banking and trading book contexts.
  • Oversee design, development, enhancement, and validation of credit risk models (PD, LGD, EAD) and market risk models (VaR, sensitivities, stress testing) .
  • Support regulatory deliverables (ICAAP/ILAAP submissions, Basel compliance, IFRS 9 impairments) and build pitch books for risk transformation projects with banks and insurers.

Project & Delivery Management

  • Manage end-to-end risk and regulatory engagements , including planning, execution, resource allocation, and client communication.
  • Act as the bridge between quant teams, engineering, and business stakeholders , ensuring delivery of high-quality solutions on time.
  • Apply Agile or hybrid methodologies to deliver incremental value while managing dependencies across teams.
  • Drive stakeholder workshops, requirement gathering, and client presentations for senior management/board audiences.

Technical & Analytical Excellence

  • Collaborate with Quant, Data, and UI/UX teams to build, automate, and scale risk models, reports, and dashboards .
  • Leverage Python (preferred), R, SQL, and advanced Excel for data-driven analysis, stress testing, and regulatory reporting.
  • Provide insightful analytics to support decision-making in capital adequacy, risk appetite, and portfolio optimisation.


The project may require travelling onsite to GCC, UK or Europe for client projects, and interested candidates should be willing to travel 3 – 6 months a year.


Candidate Profile

  • Bachelor’s or Master’s degree in Finance, Economics, STEM, or a quantitative field.
  • Professional certifications such as CFA, FRM, or MBA are strongly preferred.
  • 6–10 years’ experience in Credit and/or Market Risk roles at consulting firms, banks, or large financial institutions.
  • Proven ability to manage risk transformation programs and deliver client-facing solutions .
  • Strong technical expertise in Python, R, SQL , and Excel for quantitative modelling and automation.
  • Deep knowledge of Basel III/IV, IFRS 9, ICAAP, ILAAP, stress testing, capital adequacy , and risk governance.
  • Solid understanding of derivatives, structured products, and risk reporting frameworks .
  • Excellent communication skills to engage with senior stakeholders and produce high-quality reports/presentations.


Preferred Qualifications

  • Experience with risk and treasury systems (e.g., Murex, Bloomberg, Moody’s Risk Authority).
  • Exposure to ESG/climate risk frameworks and integration into credit and investment risk.
  • Familiarity with digital transformation of risk functions , data warehouse/ data lake programs, CRMS and regulatory tech.
  • Experience working under both Agile and Waterfall delivery methodologies.

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