Quantitative Research - Strategic Indices - Vice President at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Financial Modeling, Statistical Modeling, Portfolio Optimization, Algorithmic Trading, Risk Management, Analytical Skills, Problem-Solving, Communication Skills, Object-Oriented Programming, Mathematics, Derivatives Pricing, Agile Development, Market Microstructures, Trading Algorithms

Industry

Financial Services

Description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. This position is a Dev/Algo Quant profile as part of the QR SI team that develops sophisticated mathematical pricing models and cutting-edge methodologies to design, value and build algorithmic trading strategies and their respective hedges. The QR SI team uses financial engineering, data analytics, statistical modeling, and portfolio optimization techniques to build Investable (tradable) Indices for use in financial products. As a global team, we partner with traders, marketers and risk managers across all products and regions, contributing to sales and client interaction, product innovation, valuation and risk management, portfolio optimization, and applying appropriate financial risk controls. We are looking for an experienced quantitative strategist to join our team in Mumbai, and work closely the trading desks to design, build, and risk manage tradable indices. Job Responsibilities: Develop and maintain new and existing algorithmic trading strategies Understand valuation and risk management of production trading strategies Contribute to SDLC infrastructure of complex tradable strategies and build analytical tools for risk analysis, identify PnL deviations and other trade investigations Support both OTC and electronic trading activities by explaining model behavior, any PnL residuals by identifying major sources of risks in portfolio Assess the appropriateness and limitations of quantitative models and algorithmic strategies, identify and monitor the associated model risk Deliver end-to-end automation and optimization of trading execution and other related workflows Required qualifications, capabilities and skills: You have a strong programming background with proficiency in Python or C++. You understand advanced mathematics used in financial modeling including topics such as calculus, numerical analysis, optimization, and statistics. You have a reasonable understanding of the mathematics involved in the valuation of financial products and trading strategies. You are experienced with object-oriented programming concepts. You demonstrate exceptional analytical, quantitative, and problem-solving skill. 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 written documentation, and you are keen to defend their validity and tailor messages to different audiences. Preferred qualifications, capabilities and skills : Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Experience of financial markets and familiarity with general trading concepts and terminology Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations. You are interested in market microstructures and quantitative trading within global markets. You understand the different types of financial risk and you can discuss in detail ways of managing these risks. You are interested in applying agile development practices in a front-office trading environment. You have good practical knowledge of derivatives pricing and risk management of vanilla options and volatility products. A mindset of robust system and solution design and implementation, including diligent testing and verification practices. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Develop and maintain algorithmic trading strategies while understanding their valuation and risk management. Contribute to the infrastructure of complex tradable strategies and support trading activities by analyzing model behavior and identifying risks.