Risk Algorithmic Trading Model Validation Senior Analyst Avp

London, United Kingdom

Job Description


The eTrading Model Validation team are looking for a candidate with a strong background in statistics, quantitative finance and econometrics to join a team in Model Risk Management.

The role will be responsible for a comprehensive assessment of models used within Citi in algorithmic trading (Algo-trading) activities across ICG Markets business. The automation of trading across the industry and the potential risks posed by these strategies for financial stability are leading to increased focus by regulators for the industry to evolve second line challenge and governance around development and testing of these systems. In addition the models and methodologies used across the market is becoming ever more complex with the application of artificial intelligence techniques.

This position is a unique opportunity to learn how these models are developed and validated for algorithmic trading systems in a Tier one Global Investment Bank. Citi\'s Institutional Clients Group is comprised of diverse, talented professionals globally located in more than 100 countries and territories, collectively representing an unparalleled international network of financial skills and capabilities serving targeted clients. Our clients are top corporations, financial institutions and governments in countries around the world and our mission is to help them achieve their goals.

Model Risk Management:

The eTrading Model Validation team is part of Citi\xe2\x80\x99s Global Model Risk Management Group. The team works closely with Algo-trading stakeholders including quants and traders providing independent challenge of models developed in the front office. The mandate includes:

  • Model validation
  • Risk rating of models
  • Ongoing model performance review
The main objective is to ensure that algorithmic models are used appropriately by the business and that model users are aware of the models\xe2\x80\x99 limitations and weaknesses that should be mitigated by compensating controls.

Some of the key responsibilities in the role:

Perform an independent validation of Algo-trading models across Equities, FX, Commodities, Rates and Credit in line with Citi Model Risk Management Standards. This includes:
  • Critically review the testing framework for algo-trading models
  • Produce high value add model assessments, highlighting risks and limitations of the model.
  • Assessment of the ongoing performance monitoring of the algo-trading models
  • Validate the mathematical model used by the algo-trading models
  • Manage the validation workflow
  • Assist with responding to regulatory and audit related queries
What knowledge, skills and experience we\xe2\x80\x99ll need from you:
  • Minimum Master\xe2\x80\x99s degree in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics) with 1 to 3 years of experience
  • Strong experience in time series analysis, optimisation, probability theory, statistics, machine learning and deep learning
  • Previous experience in Algo-trading, from a quant development, trading, risk or model validation perspective
  • Fewer years of relevant experience will be considered for exceptional candidates or for candidates with higher academic qualifications and/or certifications such as a PhD, a second Master\xe2\x80\x99s degree.
  • Strong knowledge of Python. Knowledge of languages as C++ or Java would be an asset
  • Ability to clearly and concisely formulate findings in a written form
  • Good communication skills and able to explain technical details clearly
  • Team player able to work with colleagues collaboratively and stakeholders across multiple jurisdictions globally
  • Ability to work independently with strong work ethic in a challenging and emerging area for model validation
  • Knowledge of financial markets and products in FX, Equities, Credit, Commodities or Rates.
This job advert provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Exceptional candidates who do not meet these criteria may be considered for the role provided they can demonstrate the necessary skills and experience.

Valuing Diversity:
Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organizational success.

Citi is an Equal Opportunities Employer

Citi\xe2\x80\x99s Employee Benefits:

We\xe2\x80\x99ll provide you with the resources to meet your unique needs, empower you to make healthy decisions, and allow you to choose which benefits suit you and your personal life best.

Visit our page to learn more.

Highlights of our core benefits include:
  • Generous holiday allowance starting at 27 Days plus bank holidays; increasing with tenure
  • Private medical insurance packages to suit your personal circumstances
  • Award winning pension
  • On-site health services
  • Paid parental leave.
Sounds like everything you want in a new role? Then please apply to join the world\xe2\x80\x99s most exciting global bank and discover the true extent of your capabilities.



Job Family Group: Risk Management



Job Family: Risk Analytics, Modeling, and Validation



Time Type: Full time



Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi\xe2\x80\x9d) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .

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Job Detail

  • Job Id
    JD3022728
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, United Kingdom
  • Education
    Not mentioned