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Global Markets Quantitative Research

Global Markets Quantitative Research

ConfidentialMumbai, India
18 days ago
Job description

About BNP Paribas India Solutions

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union's leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines : Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

About BNP Paribas Group

BNP Paribas is the European Union's leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity : Commercial, Personal Banking & Services for the Group's commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets : Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability

Commitment to Diversity and Inclusion

At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.

About Business Line / Function

Prime Services leverages the banks experienced global team with in-depth market knowledge to provide execution, clearing and financing solutions across asset classes to both Institutional and Hedge fund clients.

Job Title

Associate Level-1 / Senior Associate

Date

Department :

Global Markets Quantitative Research

Location : Mumbai

Business Line / Function

Transversal – Equity Financing

Reports To

(Direct)

Grade

(if applicable)

(Functional)

Number Of Direct Reports

NA

Directorship / Registration

NA

Position Purpose

Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library.

The Equity Financing QR team uses C# and Python to build out various analytics for the Equity Financing desk globally. The suite of analytics include various margin models and counterparty stress testing methodologies as well various Funding and Stock Loan optimization models.

Responsibilities

  • Help to develop, update and maintain the Client Profitability analytics specific to the Financing perimeter.
  • Participate in the global research and development effort on various aspects of Financing business –Stock Loan and Inventory Management as well as Trading P&L explain topics for Synthetic PB.
  • Design, implement, and support collateral optimization tools for the Financing business using knowledge of various optimization algorithms.
  • Utilize analytical, statistical, and technical skills to perform and automate counterparty performance analyses for the Prime and DEC business.
  • Build and maintain dashboard to track Balance Sheet and other Resource metrics usage by financing clients for Prime desk.
  • Work in close coordination with other desks within the business on various asks

Technical & Behavioral Competencies

  • Graduate degree in mathematics or engineering with strong analytical skills. Knowledge of finance is a bonus.
  • Strong analytical skills and technical background in mathematics, computer science or finance.
  • Prior programming experience in Python or C# or other programming languages. Knowledge of SQL is needed.
  • Knowledge of statistics as well as optimization algorithms.
  • Effective communication skills, ability and willingness to engage the business
  • Delivery focused and willingness to collaborate with other teams.
  • Familiarity with Financing business (Stock Loan & Funding) is not necessary but a huge plus
  • Skills Referential

    Behavioural Skills :

    Ability to collaborate / Teamwork

    Critical thinking

    Communication skills - oral & written

    Attention to detail / rigor

    Transversal Skills

    Analytical Ability

    Education Level

    Bachelor Degree or equivalent

    Experience Level

    At least 2 years

    Skills Required

    Statistics, Optimization Algorithms, Sql, Python

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