Lead Securities Quantitative Specialist
Wells Fargo · Bengaluru · onsite · Posted 71d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
Job Summary
Wells Fargo is seeking a Lead Securities Quantitative Specialist
In this role, you will:
- Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
- Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior
- Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
- Use quantitative and technological techniques to solve complex business problems
- Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
- Resolve issues and achieve goals
- Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements
- Influence and lead the broader work team to meet deliverables and drive new initiatives
- Lead projects, teams, or serve as a peer mentor
- Collaborate and consult with peers, colleagues, and mid-level to senior managers
- Play an integral role to the trading floor
- 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education
- Master's degree or higher in economic sub-fields closely related to macroeconomic modeling and economic forecasting
- Extensive experience utilizing analytical methods for statistical analysis, modeling, and forecasting
- Proficiency with using Python and related software for model development
- Extensive experience in use of statistical software (i.e. EViews, R, Python, Stata etc.)
- Experience evaluating the strengths and weaknesses of statistical models, documenting those findings, and making modifications as may be appropriate
- Experience with research, evaluation, and interpretation of highly complex economic conditions, trends, and forecasts
- Experience with banking forecasting processes for CCAR/DFAST & CECL analysis
- Ability to prepare and present updates on model validation, economic trends, and model output to stakeholders
- Education and/or experience in quantitative disciplines such as economics, econometrics, statistics, or financial engineering
- Strong analytical and problem-solving skills with high attention to detail and data accuracy
- Familiarity with macroeconomic data, financial markets, and banking-related risk frameworks
- Ability to evaluate model performance and identify enhancements based on statistical rigor
Duties include, but are not limited to:
- Develop and implement econometric models in Python for macroeconomic forecasting
- Build time-series and statistical models (e.g., ARIMA, Vector Autoregression (VAR), regression, state-space models)
- Design and maintain data pipelines for large-scale macroeconomic datasets
- Generate alternative economic scenarios and analyze impact on credit risk, valuation, and funding
- Evaluate model performance and enhance models using statistical and machine learning techniques
- Collaborate with cross-functional stakeholders across Risk, Finance, and Model Governance
- Document models, methodologies, and assumptions for regulatory and internal review
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Skills
forecastsFinancial CrimesEconometricsCCARAnalyticsconstructionBankingARIMAcredit riskAlgorithmscomplianceFinancial MarketsCustomer RelationshipsfinanceModel DevelopmentData PipelineMachine LearningForecasting
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
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Financial Services
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