eFX Algo Strategy Associate at Wells Fargo
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

04 Oct, 25

Salary

0.0

Posted On

05 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Time Series Analysis, Kdb, Java, Quantitative Analytics, A/B Testing, Statistics, Probability, Training, Efx, Financial Engineering, Python, C++

Industry

Financial Services

Description

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

Required Qualifications:

  • Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Masters in Financial Engineering
  • eFX Quant / Strat experience at a sell side market maker
  • Strong programming skills in Python, Java/C++
  • Solid understanding of probability, statistics, and time series analysis
  • Track record of applying software engineering principles and good design to quant code
  • KDB (PyKx, embedpy)
  • Experience with pricing model implementation, backtesting, and A/B testing is a plus
Responsibilities

Wells Fargo is seeking an eFX Algo Strat Associate to join our growing eFX business in the EMEA region.

In this role, you will:

  • Assist with developing and researching quantitative models for pricing and risk management
  • Liaise with the London eTrading technology team to assist with aligning architecture changes with the quant/business strategy (both for eFX and across eFICC).
  • Provide overnight quant support to the Asia and London desks.
  • Conduct statistical analyses using historical market
  • Client optimization, focusing on London/Asia clients.
  • Participate in designing algorithmic strategies to place trades using low-latency trading technology in order to expand principal market making business
  • Review complex formulas, that require basic or tactical issues, policies or procedures for which answers can be quickly obtained, related to low-to-medium risk tasks and deliverables
  • Receive direction from a manager and exercise independent judgment while developing understanding of compliance and risk management requirements for the supported area
  • Collaborate and consult with managers, colleagues and stakeholders, including internal and external customers

Required Qualifications:

  • Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Masters in Financial Engineering
  • eFX Quant / Strat experience at a sell side market maker
  • Strong programming skills in Python, Java/C++
  • Solid understanding of probability, statistics, and time series analysis
  • Track record of applying software engineering principles and good design to quant code
  • KDB (PyKx, embedpy)
  • Experience with pricing model implementation, backtesting, and A/B testing is a plus.
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