Modeler

Job Title: Market Risk Model Developer

Location: Bangalore

Experience: 57 Years

Role Overvie

wWe are seeking a highly motivated Market Risk Model Developer to join a growing ris

kanalytics team. The role involves developing, enhancing, and maintaining quantitativ

emodels used for market risk measurement, regulatory capital calculations, and ris

kmanagement. The ideal candidate will possess strong quantitative skills, hands-o

nprogramming expertise, and a solid understanding of financial products and ris

kmethodologies

.Key Responsibilitie

s Develop, enhance, and maintain market risk models covering methodologie

ssuch as Value at Risk (VaR), Expected Shortfall (ES), Stressed VaR, FRTB, an

dNon-Modellable Risk Factors (NMRF)

. Participate in model calibration, performance monitoring, back-testing

,benchmarking, and periodic model reviews

. Support model governance activities, including documentation, model chang

emanagement, and regulatory compliance requirements

. Work closely with risk managers, front office teams, product control, an

dtechnology teams to implement model enhancements and resolve risk-relate

dissues

. Analyze and validate pricing methodologies for various financial instruments an

dderivatives

. Support internal audits, model validation exercises, and regulatory reviews b

yproviding quantitative analysis and model-related documentation

. Contribute to process automation and analytical tool development usin

gmodern programming techniques

. Identify opportunities to improve model efficiency, scalability, and ris

kmeasurement capabilities

.
Required Skills & Qualificatio

ns Master's degree or Bachelor's degree in Quantitative Finance, Statistic

s,Mathematics, Economics, Engineering, Physics, or a related quantitati

vedisciplin

e.
57 years of experience in Market Risk Model Development, Model Validati

on,Quantitative Analytics, or related risk management functio

ns. Strong understanding of market risk concepts including VaR, Expected Shortfa

ll,Stress Testing, and Regulatory Capital framewor

ks. Good knowledge of derivative products across FX, Interest Rates, Fixed Inco

me,and related asset class

es. Hands-on experience in quantitative model development and implementati

on. Strong programming skills in Python; experience with C++ is advantageo

us. Familiarity with numerical methods, stochastic modeling, and statisti

caltechniqu

es. Experience working with large datasets and quantitative analytics platfor

ms. Strong problem-solving, analytical, and stakeholder management skil

ls. Excellent verbal and written communication abiliti

es.
Preferred Sk

ills
Exposure to FRTB implementation initiat

ives. Knowledge of Counterparty Credit Risk concepts such as PFE, XVA, or SA

-CVA. Experience with cloud-based analytics platforms and modern data technolo

gies. Understanding of model risk management frameworks and regul

atoryexpectat