Lead Risk Consultant recruitment
Algorithmics is the world's leading provider of enterprise risk solutions. Financial organizations from around the world use Algorithmics' software, analytics and advisory services to help them make risk-aware business decisions, maximize shareholder value, and meet regulatory requirements. Supported by a global team of risk experts based in all major financial centers, Algorithmics offers proven, award-winning solutions for market, credit and operational risk, as well as collateral and capital management. Algorithmics is a member of the Fitch Group.
Algo Risk Service
The Algo Risk Service (ARS) offers risk managers, portfolio managers, traders, and quantitative analysts a robust risk management and portfolio modelling environment to monitor, manage, and optimize risk across all asset classes and investment strategies. Hosted by Algorithmics and delivered over the World Wide Web, Algo Risk Service provides access to state-of-the-art risk measurement and investment support tools through a sophisticated and flexible graphical user interface.
The Role
The key responsibility of Risk Consultants at Algorithmics is to provide functional and financial modelling expertise to Algorithmics clients implementing our software, and the work has a strong focus on financial, data and modelling aspects.
This involves working with clients to define appropriate financial models and agreed approaches to instrument pricing. Work can also involve validation of calculated results and also the specification of input data for use by the software.
Responsibilities
? Financial validation and modelling of clients’ portfolios across the whole spectrum of Financial Instruments. Assisting clients in financial validation of models.
? Provide advice on the implementation of Risk Management Software to assess Market and Credit risk
? Provide training and support to clients
? Assisting clients in implementation of firm-wide risk management processes and applications
? Verification of software implementations / upgrades.
? Providing advice to clients on utilization of the software for various risk management objectives
? Documentation of financial modelling definitions as implemented
? Mentoring junior Financial Engineers
Algo Risk Service work is conducted largely at Algorithmics’ London office. Some travel can be expected to client sites in the EMEA region, as well as occasional visits to the head office in Toronto. There are also opportunities to work on client-site-based projects in the EMEA region.
Competencies and Skills
? Familiarity with pricing and modelling of financial products. Must at least know the concepts in Hull: “Options, Futures and other Derivatives”.
? Strong practical knowledge of investment markets, financial market conventions, and risk management practices (Risk Management experience highly desirable)
? Good theoretical understanding of financial economics, financial mathematics and statistics
? Strong analysis and problem solving skills
? Strong presentation and communication skills; good command of English, both spoken and written. Must be able to convey complex ideas to a variety of functional and technical audiences.
? Ability to steer and direct projects from the functional side.
? Willingness and ability to travel is highly desirable
Education
? Good degree from reputable university in Economics, Finance, Mathematics, Statistics, or other quantitative discipline.
? Mathematics to at least A-level or equivalent
? Advanced degree in Financial Engineering or Mathematical Finance highly desirable.
Work Experience
? Proven related experience acquired in an investment bank, fund management house, financial software company or financial consulting firm, to include experience of risk, trading and pricing.
Algorithmics Inc. is an equal opportunity employer. It is Algorithmics’ policy to recruit and select applicants for employment solely on the basis of their qualifications, with emphasis on selecting the best-qualified person for the job. Algorithmics does not discriminate against applicants based on race, color, religion, sex, sexual orientation, national origin, or disability or any other status or condition protected by applicable law.