Quantitative Research Analyst

About Clear Street:

Clear Street is building modern infrastructure for capital markets. Founded in 2018 by top Wall Street and Silicon Valley veterans, Clear Street is an independent, non-bank prime broker designed to solve the industry's most neglected problem: legacy technology.

We have built a proprietary, cloud-native clearing and custody system from the ground floor to replace the outdated infrastructure used across capital markets. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We've agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.

By combining highly-skilled product and engineering talent with seasoned finance professionals, we're building the essentials to compete in today's fast-paced markets.

The Team:

Members of the Risk team are responsible for designing, implementing and monitoring the firm's margin/ leverage offering. We assess and manage the risk across multi-asset portfolios at the start of the day, intraday and end of the day. We work with large institutional clients including hedge funds, family offices and both traditional and alternative asset managers, sophisticated market makers as well as active trading and professional trading groups.

We partner internally with Sales, Trading, Middle Office, Client Service, Compliance, Legal, Operations and Engineering as well as externally with clients and regulatory agencies as we deliver a best-in-class risk management offering. Through the interaction with others at Clear Street, our clients and the challenging nature of the work we offer an exciting opportunity.

Responsibilities

• Perform complex risk analysis of multi-asset portfolios to assess market and liquidity risks
• Become a SME in the start of day, intraday and end of day risk management platform and process
• Validate and support daily risk management reports and margin calls
• Explain margin methodologies and the risk management process on sales calls with prospective and existing clients
• Work closely and effectively with Sales, Trading, Middle Office, Client Service, Compliance, Legal, Operations and Engineering teams on implementation and deployment of enhancements to margin methodology, process and policy as well as to enhance the existing risk management platforms and margin offering
• Work in conjunction with Treasury team to access and monitor liquidity stresses
• Collaborate with Quantitative teams in designing and implementing of stress based risk models
• Analyze significant datasets, develop and leverage tools to automate workflows, synthesize reports to communicate with senior management, clients and regulator
• Leverage information from a variety of sources, internal and external, to help shape future service offerings
• Assist with training and knowledge transfer for other team members to help build a stronger group
• Develop and assess risk management approaches for customer portfolios, including pricing and risk management models
• Handle requests from senior leadership, clients and regulators

Required Skills and Qualifications

• At least 5 years of professional experience working in quantitative analytical roles, ideally in financial service markets
  ● An advanced degree in quantitative finance, economics, statistics, applied mathematics, engineering or similar field
  ● At least 3 years of professional experience and proficiency in scripting language, such as Python or R (at least one is required); functional knowledge of SQL is beneficial
  ● Outstanding quantitative skills
  ● Some combination of Equities, Fixed Income, Swaps, Futures or Listed derivatives knowledge required
  ● Demonstrated interest and knowledge of markets and ability to assess impact of macro trends on client portfolios
  ● Excellent written, presentation and communication skills
  ● Ability to balance multiple projects and deliverables simultaneously
  ● Curiosity and strong problem-solving abilities

The ideal candidate will possess a balance of strong analytical and quantitative skills, keen attention to detail, as well as excellent communication skills and confidence to deal with senior management, external clients and other stakeholders. We are looking for someone with the ability to understand data and business logic, identify patterns and leverage that information to support the risk management philosophy and ultimately our business development.

This role entails working from the Bangalore office for four days each week

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