Job Description

QR-Credit SMM-Analyst

Mumbai



As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

J.P. Morgan Global Credit Trading business is a global leading market maker in bonds, credit derivatives, exotic products and solutions. It offers first-class, highly integrated financial services to a global client base and provides financial assets and liquidity for banks, insurance companies, finance companies, mutual funds and hedge funds. Traders, salespeople and research analysts work collectively to generate ideas and provide markets to clients.

The Credit Systematic Market Making is part of Global Credit Trading and performs end-to-end systematic trading of credit products, including Corporate and Emerging Market Bonds, Fixed Income ETFs and Credit Derivatives. We apply a scientific approach to trading by combining an understanding of market microstructure with modern data analytics to develop quoting, market-making and hedging strategies.

The candidate will be part of Quantitative Research, which is responsible for providing quantitative analytics and models to facilitate and optimize trading and risk management in the global CIB Markets Business.

The Credit SMM Data Analytics group is looking for a quantitative associate or VP who will leverage their data and analytical skills to help drive efficiency, resource allocation, and monetization across our credit trading business. The candidate will have a good understanding of markets and trading, strong knowledge of statistical methods including machine learning, and extremely strong Python programming skills, including architecture and framework design.

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. This exciting opportunity is at the intersection of trading, data science and quantitative research. You\'ll contribute to the strategic agenda to transform the Credit Trading desk and shape the future of the bond portfolio trading business using state-of-the-art machine learning techniques.

• Development, deployment and support of algorithms and tools for real-time pricing of corporate bonds;
• Applying machine learning and statistical techniques to global bond markets;
• Conduct research and statistical analysis to build and refine monetization systems for trading signals, including alpha signals, hedging strategies and liquidation strategies;
• Written and verbal communication with Model Review Groups in order to make models pass strict in-house standards.

Specially, you\'ll have the chance to work on the following aspects

• Clean Data

• Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won\'t be wrong or skewed. Monitoring data quality and removing corrupt data;
• Using data mining to extract information from data sets and identify correlations and patterns;
• Briefly, descriptive analysis tells us what happened, diagnostic analysis tells us why it happened, predictive analytics forms projections about the future, and prescriptive analysis creates actionable advice on what actions to take;

• Interpret Data
  • Interpreting data will involve finding patterns or trends in data that will help you answer the question at hand. Essentially, organizing and transforming information into comprehensible structures;
  • Using data to predict trends in the customer base and the client population as a whole;
• Perform statistical analysis on data
  • Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs;
  • Prepare reports and presenting these to management or clients;
  • Communicate with stakeholders to understand data content and business requirements;

• Model Data
  • This entails creating and designing the structural relationships. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears;
• 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 have in-depth knowledge of statistical methodologies and data analysis techniques;
• You have a solid understanding of data sources, data organisation and storage;
• You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things;
• You have strong verbal and written communication skills to effectively share findings with shareholders;
• You pay attention to details when working with data in order to make accurate conclusions and predictions;
• You\'re enthusiastic about knowledge sharing and collaboration;

Minimum Skills, Experience and Qualifications

We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role.

• Bachelor\'s degree from an accredited university or college in computer science/statistics/engineering or a related degree;
• Work experience as a data analyst or in a related field;
• Knowledge of relevant relational databases;
• You have demonstrated high-level experience in methodologies and processes for managing large-scale databases;
• You have demonstrated experience in handling large data sets and relational databases;
• Markets experience and general trading concepts and terminology is useful to be familiar with;
• You\'re interested in applying agile development practices in a front-office trading environment;
• You demonstrate proficiency in code design and programming skills, with primary focus on Python;
• You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;
• 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. Additional Skills, Experience and Qualifications

The following additional items will be considered but are not required for this role

About Us Across JPMorgan Chase, we serve millions of customers and many of the world\'s most prominent corporate and government clients. Our mission is to build a stronger, more equitable economy, and we strive to make a positive impact everyday with our customers in their communities. We are proud of our reputation as one of the world\'s most admired companies and we know that it\'s our people who make us successful. We are committed to a diverse and inclusive workplace where our employees are welcomed, valued and able to bring their authentic selves and best work forward. 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.