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JPMorgan Chase Bank
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Quantitative Research - Credit Associate

Quantitative Research - Credit Associate

JPMorgan Chase Bank

3 - 8 years

32 - 37 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

loans data analysis c++ electronic trading quantitative research fixed income analytics monitoring otc python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Credit QR play critical roles for management in navigating today s complex business environment. This is an beginner / intermediate level data role within the Credit QR team at JP Morgan, Mumbai. The role offers opportunities to work on a variety of trading solutions and models required for Credit Businesses and Products.

Job summary

As an Associate within Quantitative Research, Credit QR, you will have opportunity to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging across Credit Bonds, Loans, Derivatives and Exotics. You will also get to work on improving the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. We work closely with trading desks to develop statistical arbitrage strategies along with other quantitative trading and risk models.

Job Responsibilities

Develop mathematical models for pricing, hedging and risk measurement of derivatives securities
Develop models and systems for electronic trading.
Support OTC and electronic trading activities by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing quantitative tools, and researching for new trading ideas.
Development of production code for automated and semi-automated quoting and trading of Credit products.
Build various quantitative models, assess their appropriateness/limitations, identifying and monitoring the associated model risks.
Implement risk measurement, valuation models or algorithmic trading modules
Design efficient numerical algorithms and implementing compute efficient solutions
Design and develop software frameworks for analytics and their delivery to systems and applications.
Working with Technology market-making infrastructure, as we'll as on sourcing, maintaining and exposing various market and reference data feeds, i. e. data engineering.

Required qualifications, capabilities, and skills

You have an advanced degree in quantitative subject (such as engineering, mathematics, physics)
You bring computer programming experience such as use of python/C++/other programming languages in an academic/commercial environment]
Strong interest and some experience in data engineering and big-data related database technologies and tools like (Spark, Kdb+, Onetick, Hadoop, AWS etc )
You demonstrate quantitative, problem solving, research and analytical skills
You have strong software development skills.
You understand the different types of risks and you can discuss in detail ways of managing these risks.
You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things in collaboration with the team.

Preferred qualifications, capabilities and skills

you're interested in market microstructures and quantitative trading within global markets
You understand advanced mathematics arising in financial modeling including probability theory, stochastic calculus, numerical analysis, optimization, statistics
You are familiar with tools and methods of exploratory data analysis, visualization and modeling in Python e. g. , pandas, scipy, Jupyter
Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders You are good at communicating concepts and ideas, also via documentation, and you are keen to defend their validity and tailor messages to different audiences.
Knowledge of Fixed Income markets, in particular Credit products and models, financial regulations, is a plus, but it s not strict requirement.

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Quantitative Research - Credit Associate