Quantitative Research – Quantitative Model Developer Valuation Control Group – Associate

  • Full Time
  • London
  • Posted 8 months ago

JPMorgan Chase

Job title:

Quantitative Analysis – Quantitative Mannequin Developer Valuation Management Group – Affiliate

Firm

JPMorgan Chase

Job description

Job Description:If you’re passionate, curious, and able to make an impression, we’re in search of you.Quantitative Analysis (QR) is an professional quantitative modelling group in J.P. Morgan, in addition to a pacesetter in monetary engineering, knowledge analytics, statistical modelling and portfolio administration. As a world group, QR companions with merchants, entrepreneurs and danger managers throughout all merchandise and areas, contributes to gross sales and shopper interplay, product innovation, valuation and danger administration, stock and portfolio optimization, digital buying and selling and market making, and applicable monetary danger controls.Job abstract:As a Quantitative Mannequin Developer in Quantitative Analysis Valuation Management Group group, you’ll play a crucial position in offering efficient, well timed and unbiased assessments of the agency’s reserving fashions of unique buildings and in creating different benchmarking fashions for buildings as and when obligatory.QR Valuation Management Group (QR VCG) is a world group of modelling consultants throughout the agency’s World Markets group. The group’s mission is to develop and preserve refined mathematical fashions, cutting-edge methodologies, and infrastructure for truthful worth measurement of derivatives transactions throughout the Business and Funding Financial institution (CIB). We work carefully with the VCG Protection Groups, FO Buying and selling Desks in addition to the Mannequin Danger group to ship class-leading valuation analytics for truthful worth estimation of property and liabilities on the agency’s steadiness sheet.Job tasks

  • Develop mathematical fashions for the calculation of pricing changes, mannequin limitation provisions, mannequin parameter uncertainty reserves and different regulatory calculations like prudential valuation changes and CCAR stress
  • Devise and implement constant methodologies for mannequin calibration and construct analytics to remediate mannequin limitations recognized by the mannequin validation group to higher handle the mannequin danger urge for food of the agency
  • Develop on-going mannequin efficiency monitoring metrics to make sure that the fashions behave in keeping with expectations by means of time
  • Doc modelling decisions and collaborate with Mannequin Danger, Governance & Evaluation groups throughout inner mannequin opinions
  • Design and develop software program frameworks for analytics and their supply to techniques and purposes

Required {qualifications}, capabilities, and abilities

  • You display quantitative and problem-solving abilities in addition to analysis abilities
  • You perceive superior arithmetic arising in monetary modelling, resembling chance principle, stochastic calculus, statistics and many others.
  • You’ve robust understanding of economic merchandise – their valuations and dangers related to them
  • You’ve hands-on expertise with knowledge analytics, together with working with massive knowledge units and instruments for knowledge evaluation and visualization.
  • You display proficiency in code design and programming abilities, with main give attention to Python and C++;
  • You’ve sensible expertise with code efficiency optimization, debugging and reverse engineering
  • You’ve glorious verbal and written communication and group abilities in a multi-location set-up

Most well-liked {qualifications}, capabilities, and abilities

  • You’ve superior diploma (PhD, MSc or equal) in Engineering, Arithmetic, Physics or Laptop Science
  • You display 2-3 years of expertise in Quantitative fashions improvement or mannequin validation
  • You’ve markets expertise and familiarity with common buying and selling ideas and terminology
  • You display data of choices pricing principle, buying and selling algorithms, monetary rules, stochastic course of, partial differential equations and numerical evaluation
  • You display data of economic merchandise, their payoff features and fashions
  • You’re aware of software program design patterns
  • You’ve expertise with excessive efficiency computing

About Us: J.P. Morgan is a world chief in monetary companies, offering strategic recommendation and merchandise to the world’s most outstanding firms, governments, rich people and institutional buyers. Our first-class enterprise in a first-class method method to serving purchasers drives every thing we do. We try to construct trusted, long-term partnerships to assist our purchasers obtain their enterprise goals.We acknowledge that our individuals are our energy and the various abilities they carry to our international workforce are straight linked to our success. We’re an equal alternative employer and place a excessive worth on variety and inclusion at our firm. We don’t discriminate on the premise of any protected attribute, together with race, faith, shade, nationwide origin, gender, sexual orientation, gender identification, gender expression, age, marital or veteran standing, being pregnant or incapacity, or some other foundation protected underneath relevant regulation. We additionally make affordable lodging for candidates’ and staff’ non secular practices and beliefs, in addition to psychological well being or bodily incapacity wants. Go to our for extra details about requesting an lodging.In regards to the Group: The Company & Funding Financial institution is a world chief throughout funding banking, wholesale funds, markets and securities companies. The world’s most essential firms, governments and establishments entrust us with their enterprise in additional than 100 international locations. We offer strategic recommendation, elevate capital, handle danger and prolong liquidity in markets world wide.

Anticipated wage

Location

London

Job date

Wed, 03 Apr 2024 22:04:30 GMT

To assist us monitor our recruitment effort, please point out in your e mail/cowl letter the place (globalvacancies.org) you noticed this job posting.

To apply for this job please visit jobviewtrack.com.

Job Location