Statistical Programming Analyst

  • ASSYST,
  • Washington D.c., DC
Python, Statistics, SQL
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

ASSYST is looking for a Statistical Programming Analyst to work for our Client located in Washington, DC.

 

Background:

Our client provides a wide range of data-driven economic analyses and analytics to support rulemaking and policy development; develop cutting-edge, customized risk assessment tools and to inform the public about relevant securities issues through the publication of white papers, working papers, and other research publications.

 

Objectives:

The primary objective of this project is to develop a platform to analyze security and portfolio-level liquidity metrics in a customized fashion.

This platform will consist of:

  • A set of algorithms, which may include statistical, machine learning or other approaches to quantify the liquidity characteristics of individual assets and portfolios of such assets
  • A database of commercially available data used to calibrate such models
  • A database of derived metrics output from the algorithms described above.

The candidate will be required to build Machine Learning Models including Neural Networks or similar approaches, using but not limited to Python Libraries like Keras, TensorFlow, SciKit- Learn, SciPy and Theano, etc.

 

Project Scope:

  • Provide expertise in the use of modeling, statistics, machine learning and algorithms to develop a platform to analyze security and portfolio-level liquidity metrics.
  • Build and thoroughly document the database of derived metrics and provide an ODBC interface to those databases that can be accessed by workstations, or similar access.
  • Write software that can implement the models built by the staff (as written in the Python 3 programming language) in an automated fashion across all assets and portfolios.

Technical Requirements:

  • 3 Year US residency required
  • Minimum of a Master's degree in econometrics, finance, or related technical fields such as mathematics, engineering, operations research, statistics, computer science, or an MBA or MFE, and demonstrated experience of at least four (4) years in data analysis, statistical data analysis and reporting of research studies.
  • The key personnel shall also demonstrate experience using advanced analytic
    techniques such as modern econometric methods, machine learning, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics.
  • At least one year operational/regulatory financial analysis experience is preferred. The analyst should have deep experience in managing and integrating large datasets using a variety of software packages.
  • The key personnel should have programming experience using one or more of the following: SAS, VBA, STATA, MATLAB, Mathematica, Perl, R, SPLUS,
    Python, or SQL.
  • Experience with Python, R and/or other scripting languages is highly desired.
  • The key personnel shall also demonstrate experience with SQL-type and non-SQL type databases, knowledge and experience in a systems environment, such as MS Windows, Linux, and UNIX, that facilitates manipulation and processing of data is also required.

 

We are proud to offer a robust benefits package including medical, dental, vision, 401(k) retirement plan, disability insurance, flexible spending accounts and more in order for our employees to maintain a secure work/life balance.

ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.

Posted By

Melanie Erler

22866 Shaw Road Sterling, VA, 20166

Dice Id : 10112570
Position Id : 6094407
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