Alternative Modelling Group Quant Dev Associate / AVP
- Employer
- Morgan McKinley
- Location
- London, United Kingdom
- Salary
- Competitive
- Closing date
- Oct 20, 2022
View more
- Job Function
- Compliance/Regulatory
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Job Summary
Job Description
Global investment bank seeks an AVP level Quant Developer as part of their expanding Alternative Modelling Group & Quantitative Services to develop and deliver modeling solutions and analytical tools
As a team within Risk Analytics, Alternative Modelling Group & Quantitative Services partners with other GRA teams to develop and deliver modeling solutions and analytical tools, in order to address regulatory requirements; provide quantitative expertise for a broad range of modeling areas across the Enterprise; and build and maintain the analytics infrastructure which supports GRA's modeling libraries.
We are looking for technically minded problem solvers with the desire to work across a number of functional areas to drive the development of next generation risk and capital models; including champion and challenger, using traditional regression methods and next-generation modelling techniques.
Required Skills:
Desired Skills:
Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.
BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.
- Bromley
- Permanent
- BBBH820341
- Oct 04, 2022
- Competitive
Job Description
Global investment bank seeks an AVP level Quant Developer as part of their expanding Alternative Modelling Group & Quantitative Services to develop and deliver modeling solutions and analytical tools
As a team within Risk Analytics, Alternative Modelling Group & Quantitative Services partners with other GRA teams to develop and deliver modeling solutions and analytical tools, in order to address regulatory requirements; provide quantitative expertise for a broad range of modeling areas across the Enterprise; and build and maintain the analytics infrastructure which supports GRA's modeling libraries.
We are looking for technically minded problem solvers with the desire to work across a number of functional areas to drive the development of next generation risk and capital models; including champion and challenger, using traditional regression methods and next-generation modelling techniques.
- Critical to the role is to be able to think outside the box of current industry standards to develop innovative approaches to modelling problems
- Pro-actively work with stakeholders across the company to collect requirements and then identify and build modelling solutions to meet them; and effectively communicate those solutions to the stakeholders
- Ensure that next generation models are ready for enhanced climate risk requirements
- Provide insight and thought leadership into the development of new models, analytic processes or systems approaches
- Promote the adoption of GRA best practices for model development, implementation and monitoring
- Pro-actively work with stakeholders across the firm to identify opportunities to improve existing models/processes
- Produce clear and coherent technical documentation for internal and regulatory purposes
- Take ownership to deliver results and meet critical deadlines
Required Skills:
- Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
- Work experience in developing, documenting & maintaining risk and/or capital models and handling large datasets
- Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics
- Strong programming skills; SQL, Python, VBA, Latex
- Strong technical writing and clear verbal communication skills
- Experience of, and ability to work under pressure and deliver to tight deadlines
- Ability to work independently, multitask and properly prioritize work
- Curiosity and willingness to develop and work on new ways of modelling
Desired Skills:
- Experiences in the areas of credit risk modeling, operational risk modelling, loss forecasting etc. preferred
- Knowledge of regulatory guidelines including CCAR, DFAST, CECL, DFAST, ICAAP.
- Strong stakeholder engagement skills with an ability to work with colleagues in other functions (business, risk and model validation)
- Organized, practical and execution focused with some project management experience
- Self-motivated and intellectually curious about both the role, supporting technologies and the wider bank
Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.
BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.
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