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Principal Research Analyst - Advanced Analytics

The Financial Industry Regulatory Authority (FINRA) Economics logo

The Financial Industry Regulatory Authority (FINRA)
New York - United States
S: Competitive

Description

We Work to Protect Investors. Join our Team.

The Financial Industry Regulatory Authority (FINRA) is seeking a well-qualified individual for our Principal Research Analyst opening in New York, NY. To be considered for this position, please submit your resume through our career site at www.finra.org/careers – no phone calls, please.

Job Summary:
Leverage data analytics to effectively examine and conduct surveillance of market participants in mainly Broker-Dealer space. ADAU staff will support the examination and surveillance efforts by closely aligning with internal FINRA teams. We will also build tools based on needs identified during our field work and interaction with the rest of FINRA staff.

Essential Job Functions:
Serve as the lead quantitative research analyst working with the FINRA staff in building sophisticated models, determining proper empirical methodology, organizing data collection, writing unique programs, preparing written reports, and summarizing the results of analytic studies in formal and informal presentations.
Design and develop more advanced predictive models and risk analytics utilizing data collected by FINRA from its members.
Participate in examinations of broker-dealers, conducting interviews of compliance professionals and quantitative/modeling experts at the firms, designing document requests to elicit information about registrant's products and strategies and supporting the enforcement staff in investigating and litigating cases arising out of exam referrals in the above areas.
Work with business unit leaders to understand business data requirements and translate them into predicative models.
Conduct research in areas such as the application of financial engineering methodologies and employment of financial theory and applied mathematics, as well as computation and the practice of programming and suggest departmental process improvements where applicable.
Develop state-of-the-art software tools to collect, and analyze large volumes of structured and/or unstructured data.
Analyze large volumes of financial data from different instruments and sources for back-testing and validation of models, algorithms, and strategies.
Develop and present authoritative reports based on the evaluation and interpretation of studies in the assigned area of financial engineering.

Qualifications

Education/Experience Requirements:
Required: Candidate must possess an advanced degree in Engineering, mathematics, statistics, computer science, actuarial science, economics or related technical field. Preferred: Doctorate degree in financial engineering, computational or mathematical finance, computer science, statistics or related field. Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics with noisy data. Background in text analytics, news aggregation and natural language processing.
At least 4 years of experience and knowledge in the field of quantitative research and the specialized area of financial engineering, data science, or risk analytics as it relates to the securities industry. Knowledge of predictive model development and oversight.
Knowledge of financial engineering to develop, maintain and/or validate models used for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management covering a wide range of financial instruments, including equities, fixed income, currencies, futures, commodities, and/or derivatives.
Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, and predictive modeling methods including decision trees and random forest approaches.
Experience in utilizing sophisticated models and products for managing risks in portfolio construction, trade decision, and execution and hedging, including multi-factor models such as BARRA; risk management metrics and methods such as VaR and stress testing models, valuation and pricing, and model sensitivity and risk statistics.
Must be comfortable working and communicating both orally and in writing with a variety of people with varying skill and knowledge levels.
Must be a self-starter and be able to handle multiple tasks independently and under tight deadlines.

Working Conditions:
Work is normally performed in an office environment, with extended hours when necessary.
Some travel may be required.

Job summary

Employer:

The Financial Industry Regulatory Authority (FINRA)

Location:

New York, United States

Education:

PhD/Doctorate

Sector:

Economist

Salary:

Competitive

Job Type:

Permanent

Hours:

Full-Time

Posted:

12th January 2016

Apply By:

10th February 2016

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