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Tier-1 brand, metro location, mid-level role but niche quant skills moderate competition.
Quant skills are transferable across industries but banking risk context increases domain specificity.
Mandatory 2+ years, quantitative degree, and specific analytics toolset make screening moderately strict.
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Develop, implement, and calibrate analytical models for financial products and business analysis.
Perform complex statistical and mathematical modeling using Python, R, SAS, C++, and SQL.
Provide analytical support and insights for business initiatives and recommend process improvements in risk management.
2+ years of quantitative analytics experience or equivalent through work, training, military experience, or education.
Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or related quantitative discipline.
Experience with Python, R, SAS, C++, and SQL for statistical and mathematical modeling.
Not explicitly mentioned: Notice period or strict location requirements.
Experienced in handling complex financial product modeling and business analysis with measurable impact.
Proficient in multiple programming languages used for quantitative modeling and analysis in financial contexts.
Capable of collaborating with peers, managers, and regulators to resolve issues and achieve risk management goals effectively.