Job Description

Opportunity

We are looking for an experienced strat, data scientist or machine learning engineer to join our Securities Services Quantitative Research team in Mumbai and be a part of the global Quantitative Research Group. The candidate will have a good understanding of statistical methods including machine learning and strong programming skills. The Securities Services QR team's mission is to combine cutting edge research with direct business impact for our institutional investor clients and internal stakeholders. The team aims to develop and maintain sophisticated mathematical and machine learning models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and transform business practices. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement while focusing on scalability and robustness. In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career. We make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental and physical health needs or particular family considerations. If you are passionate, curious and ready to make an impact, we are looking for you. Your Impact You'll contribute to the strategic agenda to transform our investment bank into a data-led business and drive change through innovation and business process optimization using state-of-the-art machine learning techniques. Specially, you'll have the chance to:

• Contribute to the business and client franchise; identify and generate revenue opportunities by communicating directly with stakeholders to understand business processes
• Perform large-scale analysis on gigantic proprietary financial data from 1 trillion+ daily transactions to billions in cash holdings and trillions in client asset holding. This will involve cleaning and interpreting data and mining data to identify patterns and trends
• Solve difficult, non-routine analysis problems, implement, and deliver quantitative models and/or data analytics that generate business value.
• Drive projects end-to-end, from brainstorming and requirement specification, prototyping, data processing, data analysis to model development, coordinating with various partners across the Technology and Product space.
• Leverage data visualisation to communicate quantitative insights to help key stakeholders, across the different LoBs of Securities Services, in better decision making.
• Partner with Technology to deliver QR analytics to the business

About You

• You demonstrate quantitative and problem-solving skills as well as research skills;
• You have excellent practical data analytics skills on real data sets gained through hands-on experience, including familiarity with methods for working with large data and tools for data analysis (pandas, numpy, scikit, TensorFlow)
• You demonstrate experience applying statistical and/or machine learning techniques in the financial industry
• You are familiar with tools and methods of exploratory data analysis, visualization and modeling in Python e.g., pandas, scipy, sklearn, Jupyter
• You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;
• You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things;
• You demonstrate good judgment - decision-making is your strong side;
• You're attentive to detail and easily adaptable;
• You have strong interpersonal skills - you listen and communicate in a direct, succinct manner;
• 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;

Desirables

• Advanced degree (PhD, MSc or equivalent) in Probability theory, Statistics, Mathematical Finance or Engineering.; Relevant academic research publications a plus;
• Work experience as a data engineer or a related field
• You have demonstrated high level experience in methodologies and processes for managing large-scale databases
• You demonstrate proficiency in code design and programming skills
• Experience with data schemas and data structures would be useful in this role
• Direct experience of agile software methodologies;
• Orientation towards careful system and solution design and implementation;
• Robust testing and verification practices;

Beyond that, we're interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and profession that demonstrate the kind of person you are and the differences you could bring to the team.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

About the Team
The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

Clients turn to our industry-leading Markets, Sales and Research team to offer clients unique market insights on sectors and companies, and actionable ideas using research to make well-informed investment decisions. Teams understand products across asset classes and help clients structure solutions that manage risk, enhance yield and solve complex financial problems. JPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.