Complete Front Office & Risk Quant Professional Bundle (80 PDFs, 79 notebooks & 166 scripts)
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About this resource
The complete Desk2Quant professional library for front-office, risk, model validation and quant interview preparation. This expanded bundle includes 80 professionally structured PDFs, 79 Jupyter notebooks, and 166 executable scripts across Python, C++, SQL and quantitative research workflows.
Recently added: Credit Risk Quant Notes & Lab — 137 pages on PD, LGD, EAD, IFRS 9 and IRB, plus 4 executed projects on 30,000 real card accounts and 40 years of U.S. credit data: PD scorecard, LGD & EAD with downturn LGD, an IFRS 9 ECL engine, and IRB capital with stress testing.
Market Risk Quant Notes & Lab — 141 pages on VaR, ES, backtesting and FRTB, plus 3 executed projects on 20 years of real rates and FX data, including a 4,919-day walk-forward backtest and an FRTB SA vs IMA capital comparison. The Vol Surface Construction Playbook — SVI, SSVI, static-arbitrage diagnostics, Dupire local volatility, a fully executed Jupyter companion lab, stability tests and Monte Carlo repricing closure.
Quant Researcher Interview Playbook — 145+ pages covering time-series research, signal design, point-in-time data, dependence-aware inference, multiple testing, walk-forward validation, costs, portfolio construction and research interview drills. Core bundle coverage Foundations: probability, statistics, stochastic calculus, linear algebra and differential equations.
Programming: Python, C++, SQL, runnable templates and computational notebooks. Asset-class models: rates, FX, equity, credit, volatility and cross-asset modelling. Derivatives: rates, FX, equity, credit, inflation, commodities, exotics and volatility surfaces.
Risk & validation: XVA, model validation, P&L attribution, regulatory frameworks and production diagnostics. Projects: 45 industry-style quant projects plus graded project material. Interview preparation: 1000+ problems, desk-style playbooks, mental-math drills, research interview preparation and practical case studies.
Career resources: ATS-ready resume material, roadmaps and supporting resources. Why this bundle is different: it is organized around how quant work is actually performed — model choice, calibration, implementation, validation, hedging, P&L, failure modes and interview defence — rather than isolated formulas.
Bundle price: ₹9,999 | Original value: ₹12,999 | Until 31 December: code COMBINED20 for 20% off — about ₹7,999. Digital educational product for personal use. No physical item is shipped. Individual Desk2Quant products remain separate purchases; buying an individual resource does not grant access to the Complete Bundle.
Educational material only. Not financial or investment advice.
What you get
- Instant digital delivery by email after purchase
- Written by a practising quantitative risk modeller
- Desk-focused material, not textbook theory
Delivery & refunds
Access is delivered by email immediately after payment. See our refund policy, terms and privacy policy.
Frequently asked questions
How is Complete Front Office & Risk Quant Professional Bundle (80 PDFs, 79 notebooks & 166 scripts) delivered?
Access is delivered digitally by email after payment is verified. Keep the purchase email so you can find the delivery link later.
Who is Complete Front Office & Risk Quant Professional Bundle (80 PDFs, 79 notebooks & 166 scripts) designed for?
It is designed for quantitative-finance candidates and practitioners who want desk-focused explanations, practical diagnostics and interview-ready reasoning.
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Related resources
- Credit Risk Quant Notes & Lab — PD, LGD, EAD, IFRS 9 & IRB (4 real-data projects + 137 pages)
- Market Risk Quant Notes & Lab — VaR, ES, Backtesting & FRTB (141 pages + 3 real-data projects)
- SFT Counterparty Credit Risk & IMM Quant Lab — 5 Bank-Style Projects
- OTC Counterparty Credit Risk & IMM Quant Lab — 5 Bank-Style Projects
- Fast Greeks & Initial Margin for Quants — AAD, SIMM & MVA Production Lab
Get Complete Front Office & Risk Quant Professional Bundle (80 PDFs, 79 notebooks & 166 scripts)