About J.P. Morgan Corporate & Investment Bank

Transcription

1 About J.P. Morgan Corporate & Investment Bank J.P. Morgan s Corporate & Investment Bank (CIB) is a global leader in Banking. The world s corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank supports our clients around the world providing strategic advice, raising capital and managing risk. Who we are We are a small, focused team of passionate engineers, data and business people set on creating and building products that transform the way we and our clients do business. Sure, we are part of a large financial services firm operating in a highly-regulated environment, and that means we are not as flexible or agile as your average company let alone a startup. But we are careful stewards of our clients trust and money and combine creativity and speed with discipline and awareness. It also means that what we build matters and have huge impact; our products and solutions will reach our 1000s of clients around the world, and affect how J.P. Morgan does business from trading securities in multiple markets to moving trillions of dollars a day. We won t build it unless we know it is scalable. We are obsessed with effectiveness, productivity and efficiency; if we find an issue or broken process, we fix it. We work with the right tools, make decisions quickly, and only pursue those ideas that can scale and meet our clients and our business critical needs. Why join? This is a fascinating time in our industry. By now, it s a cliché that Banks will have to embrace technology and innovation if they are to thrive in the years to come. We are already bought into this and are committed to show that we can do it, and are looking for others to join. You will: Work on some of the most complex problems imaginable at the intersection of two dynamic industries finance and technology. Interact with insanely large and fascinating data currently not available anywhere else. Develop products that can change the way 1000s of clients operate, and how Banking is done today. An analyst will join a small team, and participate as a group in projects executed on by the New Product Development (NPD) team. You will work closely with the head of Data Science, your team leader and other business analysts and software engineers within NPD, to help build a foundation of state-of-the-art technical and scientific capabilities to support a number of ongoing and planned data analytics projects. Build an in-depth understanding of the problem domain and available data assets Research, design, implement, and evaluate machine learning approaches and models Perform ad-hoc exploratory statistics /data mining tasks on diverse datasets - small scale to big data Participate in data architecture and engineering decision-making to support analytics Take initiative in evaluating and adapting new approaches from data science research Investigate data visualization and summarization techniques for conveying key findings Communicate findings and obstacles to stakeholders to help drive the delivery to market Code your solutions (this is a hands-on position requiring strong programming skills)

2 Key Requirements: Professional experience as a data scientist or a related software engineering role Graduate degree (MS) in mathematics, computer science or other quantitative discipline Thorough understanding of probability and statistics, Bayesian methods, time series analysis Strong programming skills (in any language) Great communication skills, team player, self-starter, demonstrated strong work ethic Desire to use modern technologies as a disruptive influence within the Finance domain Preferred Expertise in Statistics, Empirical Data Analysis, Machine Learning or Natural Language Processing Experience and in-depth knowledge of Python and other modern programming languages Experience in a specialized statistical computing environment, preferably R Experience in practical data processing, data mining, text mining and information retrieval tasks Experience in scalable data management tools - Relational and NoSQL databases Knowledge of Big Data architectures a strong plus Knowledge of Python s data analysis and machine learning libraries a strong plus Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

3 Global Markets Group Mumbai Global Markets: Linear Quantitative Research Senior Analyst/Associate J.P. Morgan s Global Markets Group (GMG) in Mumbai was set up in 2013 as an extension of the Firm s global markets teams around the world. GMG is a fast growing team covering multiple asset classes across geographies. GMG provides in-depth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight. Linear Quantitative Research (LQR) is an expert quantitative modeling group in J.P. Morgan, an unchallenged leader in financial engineering, statistical modeling and portfolio management. With more than 30 researchers worldwide, LQR partners with traders, marketers and risk managers across all products and regions. This position is a Quant profile to support the activities of the LQR group, sitting out of GMG in Mumbai. The LQR Mumbai team would work closely with the LQR teams sitting across the various regions (Hong Kong, London and New York) mainly on the following: Developing mathematical models for systematic quantitative trading strategies, for example, Electronic Trading Algorithms, Index Arbitrage, Statistical Arbitrage, portfolio optimization, flow recommendation research, IOI and Market Making. Carrying out market microstructure research and writing white papers Evaluating quantitative models, stability testing and back-testing the strategies over simulated environment and extreme market conditions Implementing strategies in trading frameworks Qualifications: Earned a Master or equivalent degree program in math, statistics, econometrics, financial engineering or computer science Exceptional analytical, quantitative and problem-solving skills Good communication and interpersonal skills Big Data Experience Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization, Machine Learning) Algorithms and Data Structures knowledge Prior experience in microstructure research or developing execution strategies or short term price prediction models Python and q/kdb experience is a plus Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or mathematics background will be most suitable. J.P. Morgan s Global Markets Group (GMG) provides a challenging work environment and excellent opportunities to learn and grow both at the GMG and in the Firm s global network. Through the diversity of the businesses it supports and the variety of functions it is responsible for, the LQR group provides unique growth opportunities for new hires to develop their abilities and their careers. Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

4 Global Markets Group Mumbai Global Markets: Quant Research (Programming) Junior Analysts/Analysts J.P. Morgan s Global Markets Group (GMG) in Mumbai was set up in 2013 as an extension of the Firm s global markets teams around the world. GMG is a fast growing team covering multiple asset classes across geographies. GMG provides indepth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight. This position is a Quant profile to support the activities of the Quantitative Research Group in London, sitting out of GMG in Mumbai. The QR Mumbai team plays a critical role in providing effective, timely and independent assessments of the Firm s booking models of exotic structures and also help in developing new models for structures as and when necessary. The primary responsibilities for this role will include: Programming: Must have demonstrated programming experience with C++. Experience in working / creating customized C++ libraries will be a plus. Software Engineering: Duties including the full-range of programming tasks problem analysis, solution determination, code design and development, integration, test, modification and documentation Model Development: Devising/improving models on new/existing product strategies, building models in the firm s platform, back-testing of strategies and reconciling back-tests with model outputs. Product Pricing models: Independently prepare pricing models for derivative product structures using internal pricing models as per the client requirements. Booking/ Deal Review: Independent quantitative evaluation of complex and technical models, focusing on payoff construction and would cover methodology, construction and testing of models. Reporting and Compliance: Familiarity with internal and regulatory guidelines on Model assessment and Reporting; Implementation of remediation; reviewing the process of trade booking in the proprietary systems The candidate will need to work very closely with QR team in London, supporting them just as a direct extension of the team sitting out of Mumbai. Overall, the candidate will need to work closely with teams in Asia-Pacific and/or London and/or New York and will need to be proactive to improve desk efficiencies, access and learn J. P. Morgan s highly sophisticated solutions. Essential Skills: Highly analytical bent of mind and quantitative skills; high level of proficiency in C++ / Python programming; High performance computing Close attention to detail and ability to work to very high standards Good communication and team skills in a multi-location set up Relevant experience in similar roles in Quant Research and Model Development will be an advantage Formatted: Indent: Left: 0.25", No bullets or numbering, Tab stops: Not at 0.25" Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or mathematics background will be most suitable. J.P. Morgan s Global Markets Group (GMG) provides a challenging work environment and excellent opportunities to learn and grow both at the GMG and in the Firm s global network. Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

5 Hiring Manager TBD Corporate MGG [Associate] (Req #) Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm s model risk management function, Model Governance Group (MGG) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. This role will be within the algorithmic trading MGG team and requires a combination of development and quantitative skills with emphasis on development. This role will focus on conducting quantitative testing of data-driven financial models for the purpose of model validation, as well as developing a testing platform to unify validation of these models across the investment bank. Core responsibilities: The successful candidate will be a member of MGG in Mumbai covering algorithmic trading businesses, and will focus on the following activities: Work with other model validation quants to understand the testing needs e.g. backtesting, statistical performance, outlier sensitivity required to address specific concerns in model validation: model conceptual soundness, reasonability of assumptions, and performance robustness, etc. Coordinate with model development teams to implement necessary testing. Collaborate with model development and technology teams and understand their architecture and design a more accessible testing platform that integrates many codebases and databases. Essential skills, experience, and qualifications: Strong development skills. BS, Masters, or PhD in Computer Science or Computer Engineering [Math or Engineering with a strong programming expertise is also of interest]. Expertise in Python is a requirement and additional knowledge of Java/C++ preferred. Knowledge of Q is a bonus. Knowledge of probability, statistical testing, and statistical models. Machine learning is a plus. Able and willing to learn a variety of technologies and languages, and to implement solutions independently. Strong written and oral communication skills, the role will requirement collaboration with multiple model development and technology teams. Knowledge of financial markets and electronic trading is a plus. Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

6 Hiring Manager Ian Dowker Corporate MGG [VP] (Req #) Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm s model risk management function, the Model Governance Group (MGG) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. The model manager will support the Asset Management Model Governance Group (MGG) group (based in New York), which is responsible for working with the business on implementation of the firmwide Model risk policy and procedures, performing independent reviews of models, and model risk assessment. Core responsibilities: The successful candidate will focus on the following activities: Perform independent model reviews, and document review process and conclusions. Analyze quantitative models used by portfolio managers and traders in Asset Management, models used by risk managers, and regulatory and economic capital models. Perform implementation testing and statistical analysis. Identify and highlight limitation of methodologies, identify and quantify misunderstood or understated risks. Perform assessments of the conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs Assess completeness of testing performed to support the correctness of the implementation Assist with model identification process, assessing whether newly identified methodologies should be in scope of the model risk policy Work with model developers and model users across the firm to understand methodology and usage Liase with other Model Governance groups in relevant coverage areas across the firm Essential skills, experience, and qualifications: The successful candidate will have the following skills, experience, and qualifications: 3+ years of cumulative experience in either of the following areas: o Quantitative Model Development or Review (with relevant asset class expertise) o Market Risk Management or another quantitative function preferably within asset management At a minimum, Master s degree in Statistics, Engineering, Physics, Mathematics or a quantitative science. Strong quantitative, analytical, and problem solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Knowledge of finance industry, particularly in modeling- valuation, risk, capital, forecasting, investment management Experience in model validation and/or model development preferred Demonstrated knowledge of statistical analysis Coding experience in R, Matlab, and/or VBA Understanding of optimization techniques, such as linear, quadratic and robust optimizations

7 Understanding of risk management models Strong communication and interpersonal skills Strong project management and organizational skills; ability to multi-task and meet deadlines Ability to work independently, with remote supervision Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues Please send your CVs to Rahul Dalmia

8 Hiring Manager Ian Dowker Corporate MGG [Assoc/VP] (Req #) Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm s model risk management function, the Model Governance Group (MGG) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. Core responsibilities: The successful candidate will focus on the following activities: Perform assessments of the conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs Assess completeness of testing performed to support the correctness of the implementation Assist with model identification process, assessing whether newly identified methodologies should be in scope of the model risk policy Work with model developers and model users across the firm to understand methodology and usage Liase with other Model Governance groups in relevant coverage areas across the firm Essential skills, experience, and qualifications: The successful candidate will have the following skills, experience, and qualifications: Bachelors degree required in Economics, Math, Science, Engineering, Finance, Accounting, or related field Strong quantitative, analytical, and problem solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Knowledge of finance industry, particularly in modeling- valuation, risk, capital, forecasting, investment management Experience in model validation and/or model development preferred Strong communication and interpersonal skills Strong project management and organizational skills; ability to multi-task and meet deadlines Ability to work independently, with remote supervision Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

9 Level Analyst (502) J.P. Morgan s Global Markets Group (GMG) in Mumbai was set up in 2014 as an extension of the Firm s Global Markets teams around the world. GMG is a fast growing team covering multiple asset classes across geographies. Deeply integrated with our Global Markets business, the team facilitates deals and transactions by providing vital research and insights for supporting Sales, Structuring and Trading functions across asset classes and geographies. The role is within Model Risk management COO team which is part of GMG performing Business Intelligence & Data Analytics function. As a member of Model Risk management COO team, the individual will be responsible for: Responsibility - Developing and implementing efficient data analytics and business management reporting for various large projects in Model Risk management - Conceptualize, develop and support platform and tools facilitating business management logistics required for Model Risk management function - Build data consolidation / warehousing techniques to facilitate efficient project management and tracking - Develop, analyze and interpret process efficiency metrics related to Model Risk - Provide and present relevant project status information, insights and recommendation to senior management and partners using MS Office (i.e. PowerPoint, Word, and Excel) - Partner with internal teams to support business execution Qualification - Bachelors in Engineering (or equivalent quantitative fields) with or without MBA, Masters in Statistics - Minimum 3+ years of relevant analytics/modeling experience or solid advanced academic researches Skillset Must have: - Strong analytical and problem solving skills with the ability to interpret complicated and large amounts of data with business insights - Very good knowledge of Python programming language with development experience - Strong command of the English language (spoken and written) Good to have: - Ability to design and manage SharePoint sites for maximum efficiency - Specific experience in process mapping, process metrics and six-sigma design principles - Knowledge of Microsoft Office products at the data model level (specifically XL, Word, Viso and Project) and the ability to write automation code using all available tools (VBA, XML etc) - Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

10 Ongoing Monitoring- Application Developer/Programmer (VP/ Senior Associate) Corporate - Ongoing Monitoring Model Governance The Ongoing Monitoring group focuses on assessing performance of quantitative models used throughout the firm, including pricing models, risk models, and empirical forecasting models used in major lines of business, including Corporate Investment Bank, Consumer Banking, and Corporate Risk. Team members have opportunities for exposure to a variety of models and projects. Core responsibilities Lead developer responsible for designing and implementing Python applications within the firm s proprietary framework (Athena) Writing reusable, testable, and efficient code Supervising other developers within India team Act as Liaison between New York and India teams Desirable skills, experience, and qualifications Minimum 5 years of programming experience Expert in Python with minimum 2 year of full-time Python programming experience In-depth understanding of Object-Oriented programming concepts Proficient understanding of code versioning tools MS or BS from top universities in Computer Science, Math, or Engineering Excellent writing and verbal communication skills in English Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)

11 Global Markets Group Mumbai Global Markets: Quantitative Researcher - Model Investigations Senior Associate / Vice President J.P. Morgan s Global Markets Group (GMG) in Mumbai was set up in 2013 as an extension of the Firm s global markets teams around the world. GMG is a fast growing team covering multiple asset classes across geographies. GMG provides indepth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight. This position is a part of the newly set-up Model Investigations team within the Global Markets Group. The Mumbai team would work in sync with the New York team on assessing performance of quantitative models used throughout the firm, including pricing models, risk models, and empirical forecasting models used in major lines of business, including Corporate Investment Bank, Consumer Banking, and Corporate Risk. Team members have opportunities for exposure to a variety of projects and models used extensively within the bank. Primary Responsibilities: Quantifying model performance with an in-depth analysis of various model characteristics Heavy-duty empirical data analysis to identify potential model weaknesses Program scripts to facilitate model and associated data analysis Investigate potential model issues Essential Skills: Probability: Strong knowledge in probability theory, statistics, econometrics, stochastic processes, and numerical analysis. Highly analytical bent of mind. Mathematical Finance: Experience with Stochastic calculus(sde, PDE, FE etc.), Numerical algorithms (root finding, optimization etc.), statistical modeling (factor models, copula, Bayesian etc.), Time series analysis (ARIMA, GARCH, state space models) Knowledge of Derivatives: Strong expertise on derivatives theory with very good understanding of Greeks (Delta, Gamma, Theta etc.) and other risk components. Programming: Good in algorithms and ability to code in any of the object-oriented or scripting languages. Communication: Excellent written and verbal communication skills as the frequent sync-ups with the New York team would be required. Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute with 5+ years of experience. A computer science or mathematics background would be most suitable. J.P. Morgan s Global Markets Group (GMG) provides a challenging work environment and excellent opportunities to learn and grow both at the GMG and in the Firm s global network. Please send your CVs to Rahul Dalmia (Rahul.dlm@gmail.com)