Executive Job Description | Quantitative Support Engineers – Equities and/or Fixed Income
Must be proficient in 2 programming languages or statistical or query languages, i.e. VBA, SQL, Matlab, Java, Time Series and Relational Databases
My client, a major financial firm, is looking for a Quantitative Engineering professional to join their Client Services Group. Client Services is responsible for all Quantitative Engineering activities for my client’s institutional products and services. Each Client Quantitative Engineer (CQE) becomes a knowledge expert with their products.
Responsibilities consist of:
· Understanding each prospective client's application requirements and determining how products and services can meet their specific needs
· Working with clients on any and all issues that arise during the pre-sales process concerning product functionality and coverage, underlying methodologies, analytics, data, technologies, integration, and deployment.
CQE's form one-to-one dedicated relationships with specific clients and are responsible for the continued support of those clients. This includes pro-actively learning and understanding how products and services are being used and subsequent training on "best practices". This also includes working with each client on issues ranging from methodology and technology questions, to new functionality, features and enhancement requests and finally to future business needs and requirements. Heavy experience is not necessary, just need to be an excellent communicator. Firm will offer an opportunity to get into the financial industry. Candidate will be helping clients on the phone to use the product. Need a reactive type person who is technical in nature.
Requirements:
· Firm analytics background (e.g. statistics, time series analysis, computational finance)
· Quantitative investment style best practices (e.g. long / short, pairs, stat arb)
· Knowledge of financial markets (e.g. equities, fixed income)
· Good technology background (e.g. macro development, working knowledge of Java, time series, and relational databases)
· Excellent communication skills (e.g. presentations, training)
· Strong team skills
· Proven ability for independent work and self-teaching
· Desire to take responsibility for clients
· A graduate degree in quantitative finance, financial engineering, and direct experience with Financial Data, Financial Products, and/or Risk Management
Must be authorized to work in the US. Sorry but no relocation or sponsorship assistance is available.
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