Lead Securities Quantitative Specialist

Posted 14 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Lead development of trading algorithms, derivative pricing and macroeconomic forecasting models. Build time-series/econometric models, maintain data pipelines, evaluate model performance, document methodologies for regulatory review, and collaborate with Risk, Finance, and Model Governance while supporting trading floor decisions.
Summary Generated by Built In
About this role:
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
Required Qualifications:
  • 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Required Qualifications for Europe, Middle East & Africa only:
  • Experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education
Desired Qualifications:
  • 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
  • Preferred Skills & Abilities
  • 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
Job Expectations:
Functional Responsibilities
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
Posting End Date:
22 Jul 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Skills Required

  • 5+ years of Securities Quantitative Analytics experience
  • Proficiency with Python for model development
  • Develop and implement econometric and time-series models (ARIMA, VAR, state-space)
  • Experience designing and maintaining data pipelines for large-scale macroeconomic datasets
  • Experience developing automated trading algorithms and derivative pricing models
  • Experience with statistical software (EViews, R, Stata)
  • Master's degree or higher in economics, econometrics, statistics, or financial engineering
  • Experience with banking forecasting processes (CCAR/DFAST & CECL) and model validation
  • Ability to evaluate model performance, document methodologies, and present to stakeholders
  • Experience using analytical methods for statistical analysis, modeling, and forecasting

Wells Fargo Compensation & Benefits Highlights

  • Healthcare Strength Health coverage begins on day 1 with medical, dental, and vision, and includes mental health, prescription drugs, and preventive care often covered at 100% in-network. Well-being resources such as 24-hour clinical support and an Employee Assistance Program add to the breadth.
  • Parental & Family Support Paid parental leave provides up to 16 weeks for a primary caregiver (4 weeks for non-primary) alongside fertility benefits and up to a $35,000 lifetime reimbursement for adoption, surrogacy, and donor expenses. Backup child and adult care further supports family needs.
  • Retirement Support Retirement benefits feature a 401(k) with company matching contributions up to 6% of eligible pay. An employee stock purchase plan adds another avenue for long-term savings.

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The Company
HQ: San Francisco, CA
205,000 Employees
Year Founded: 1852

What We Do

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.

Why Work With Us

We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”

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