Senior Quantitative Analytics Specialist

2 weeks ago


Bengaluru, Karnataka, India WELLS FARGO BANK Full time
About this role:

We are seeking a highly skilled Senior Quantitative Analytics Specialist to join our team at Wells Fargo Bank.

In this role, you will be responsible for performing complex activities related to creation, implementation, and documentation of quantitative analytics models.

You will use advanced statistical theory to quantify, analyze, and manage markets, as well as forecast losses and compute capital requirements.

Additionally, you will utilize structured securities and provide expertise on the theory and mathematics behind the data.

As a Senior Quantitative Analytics Specialist, you will manage market, credit, and operational risks to forecast losses and compute capital requirements.

You will participate in discussions related to analytical strategies, modeling, and forecasting methods.

Furthermore, you will identify structures to influence global assessments, inclusive of technical, audit, and market perspectives.

You will collaborate and consult with regulators, auditors, and individuals with technical expertise and excellent communication skills.

As a critical thinker, you will identify and prevent risk in data, solutions, and procedures.

You will perform root-cause analysis using Java and Python on data issues and drive implementation for remediation.

Additionally, you will perform reconciliations to source (or system of record) and highlight anomalies.

You will perform various complex analytics activities related to solution design on data solutions.

As a prototype developer, you will design or develop automated solutions to business problems.

You will take initiative, identify inefficiencies, and opportunities, and implement change using Python and Java.

Furthermore, you will manage process improvement initiatives to optimize operational effectiveness and efficiencies.

You will provide analytical support for evaluating, implementing, monitoring, and executing data strategy and execution solutions.

As a team player, you will work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are essential.

You will partner with Technology teams to debug, enhance, and improve the capabilities of the new strategic valuation, risk, and Market Data Platforms using Java and Python.

Additionally, you will integrate various data inputs to pricing and risk analytics libraries in collaboration with other quant teams.

As a software developer, you will consistently deliver high-quality software and documentation in an Agile SDLC.

Required Qualifications:

  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.

Desired Qualifications:

  • Use quantitative and technological techniques to solve complex business problems.
  • Master's or above in quantitative disciplines like Computer Science/Finance
  • 5+ years of experience working in similar roles dealing with Python/Java
  • Strong analytical skills with ability to draw conclusions and translate findings from data.
  • Possess strong Java Functional and Python programming skills with experience in working with analyzing and interpreting large datasets and data manipulation using Java Lambda expression, Java evaluators, Immutability, and Python NumPy, Pandas, SciPy, and Scikit modules.
  • Participate in complex software design & development activities within an Agile environment.
  • Ability to develop and drive a project from inception to delivery.
  • Experience developing Enterprise scale software platforms.
  • Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements.
  • Show your hands-on coding experience of functional programming in GitHub.
  • Quant or financial experience or the keen to learn them.


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