About this role:

The applicant will join the CIB Equity Derivatives Quant team to work closely with the Equities structured products/exotic derivatives desk, support and enhance key quantitative analytics functions, and help advance the Equities exotics derivatives modeling capabilities.

We are looking for candidates with necessary level of programming background to support the quant modeling libraries and work closely with Technology partners to integrate and support them to be put into production. The candidate will also work with Model Validation/Governance teams to have Front office models validated for production use.

In this role, you will:

• Combine mathematical and programming skills as well as market expertise to support/build equity derivatives models/pricers for the desk’s use, and help generate systematic strategies
• Use quantitative and technological techniques to solve complex business problems
• Lead or participate in complex initiatives and deliverables within Securities Quantitative Analytics
• Conduct research on improved PnL attribution, trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
• Review and analyze complex business, operational, or technical challenges within Securities Quantitative Analytics that require an in-depth evaluation of variable factors
• Resolve moderately complex issues independently
• Lead team to meet deliverables while leveraging solid understanding of Securities Quantitative Analytics policies, procedures, and compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals
• Lead projects, teams, or serve as a mentor for less experienced staff
• Play an integral role to the trading floor
• Contribute to large-scale departmental planning

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

Desired Qualifications:

• An advanced degree such as Masters or PhD in a quantitative/computing discipline, eg Mathematics, Physics, Statistics, Computer Science, or similar.
• Front office Derivatives Quant modeling experience, or comparable buy-side quantitative experience in derivatives modeling (preferably in Equity Derivatives).
• Applied knowledge and understanding of stochastic calculus, stochastic processes, and derivatives valuation (preferably as used in Equity Derivatives modeling).
• Applied knowledge and understanding of derivative products numerical solution methods such as binomial trees, Monte Carlo, and finite difference methods.
• Applied knowledge/experience in C++ and coding in a model library environment with multiple contributors.
• Applied knowledge/experience in Python.
• Good verbal, written, interpersonal communication skills, and rapid synthesis of information.
• Highly driven to take ownership of projects from start to finish.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$144,400.00 - $300,000.00

Posting End Date:

23 Aug 2024

*Job posting may come down early due to volume of applicants.

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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.

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