- June 29, 2010 - University of Oxford
Mathematical, Physical and Life Sciences Division
Department of Statistics in association with Jesus College
The Department of Statistics proposes to appoint a University Lecturer in Statistics to
take up this post from 1 April 2011, or as soon as possible thereafter. The successful
candidate will be offered a Tutorial Fellowship by Jesus College, the Kay Fellowship, under
arrangements described in the further particulars. The combined University and College salary
will be on a scale up to £57,201 per annum, and a College housing allowance of £9,986,
responsibility allowance of £1,451, as well as other benefits.
The successful candidate will have research interests close to the mainstream of modern
statistics, will have a PhD, or equivalent degree in Statistics or a related discipline, and a
strong, relevant research record published in leading journals as well as the potential to attract
appropriate research funding. The appointee will also be expected to have the ability to teach
effectively over a wide range of topics in the undergraduate syllabus of the Mathematics and
Statistics degrees at Oxford, the MSc programme in Applied Statistics, provide relevant
supervision of graduate students, and to carry out relevant duties of a Tutorial Fellow.
Further particulars, containing details of the application procedure and of the duties,
may be obtained from Personnel Administration, Department of Statistics, 1 South Parks Road,
Oxford OX1 3TG (Tel: 01865 272869), email:
office@stats.ox.ac.uk, or by downloading from the
website: http://www.stats.ox.ac.uk/vacancies
The closing date for applications is 12 noon, Friday, 24 September 2010
Please quote reference number: AM-10-002 in all correspondence
The University is an Equal Opportunities Employer
- May 19, 2010 - Bayesian Researcher for Hedge Fund Modeling
(QUANT Quant Analyst - Junior)
UBP Asset Management ("UBPAM") is a wealth management firm headquartered in New York. Specializing in Hedge Fund-of-Funds and Customized Accounts, UBPAM provides investment management and advisory services to a wide range of clients.
Summary: The effectiveness of quantitative analysis when applied to hedge funds has been limited by the fact that the data available are sparse and the opportunity sets in which hedge funds invest are constantly changing making hedge-fund returns difficult to model. UBP is developing an innovative approach to modeling hedge funds in which Bayesian statistics will play an important role. These models would help inform and discipline the investment process at UBP. As a member of the Quantitative Team, work with other members of the Team to provide quantitative/analytical support to the Manager Research & Selection, Portfolio Construction, Asset Allocation and Portfolio Analytics & Investment Risk teams with a focus on Manager Research and Selection. Initial duties will include developing innovate approaches for modeling hedge funds.
The candidate should have a strong skill set in statistical analysis and experience with a statistical or object-oriented language such as Java, C++ or C#. We have a very strong preference for individuals with experience in applying state-of-the art Bayesian models. The candidate should be self-motivated, have the ability to solve problems creatively, work independently and be able to perform in a fluid, team environment. The candidate should have an intense interest in applying quantitative analysis to solve difficult problems.
Essential Duties and Responsibilities:
Develop hedge fund models to guide hedge fund selection and monitoring.
Work closely with the Manager Research and Selection Team
Work with Technology Team to implement quantitative tools and solutions.
Qualifications:
Extensive experience in Bayesian statistics.
Extensive experience with a statistical or object-oriented language such as Java, C++ or C#.
A highly trained professional who is interested in applying advanced methods to the modeling of financial markets.
Superior analytical skills and an excellent academic track record with a Ph.D. in a quantitative discipline.
Candidates who wish to apply for this position should e-mail their resumes to:
Recruitment@UBPAM.COM
QUANT Jr Quant Analyst MUST BE NOTED IN THE SUBJECT LINE OF THE E-MAIL FOR RESUME TO BE REVIEWED.
Please include salary requirements in submission
NO PHONE CALLS
NO AGENCIES PLEASE
- March 24, 2010 - Bayesian Clinical Trials Statistician
RTI International is one of the world's leading research institutes,
dedicated to improving the human condition by turning knowledge into
practice. Our staff of more than 2,800 provides research and technical
expertise to governments and businesses in more than 40 countries in the
areas of health and pharmaceuticals, education and training, surveys and
statistics, advanced technology, international development, economic and
social policy, energy and the environment, and laboratory and chemistry
services. For more information, visit www.rti.org
Job Description
The Statistics and Epidemiology Unit of RTI International seeks a Senior
Research Statistician to support the use of Bayesian statistics in a
wide range of clinical research studies and program evaluations in
public health and related areas.
The successful candidate is expected to have strong skills and relevant
experience in developing and applying the principles and methods of
Bayesian statistics to a broad range of clinical research studies,
including the design and analysis of randomized clinical trials and
observational studies, longitudinal studies and program evaluations in
public health. Expertise in eliciting and incorporating prior
information and expert opinion, as well as designing and analyzing
adaptive early phase clinical trials would be especially beneficial.
Responsibilities
You will apply Bayesian methods to the design and analysis of research
studies (both interventional and observational) in public health. The
ability to apply Bayesian principles to the design and analysis of
program evaluation studies in related areas is also desirable.
Qualifications
* PhD or equivalent degree in Statistics, Biostatistics or related field
with at least 5 years related experience.
* Expertise in designing and analyzing Bayesian studies in clinical and
public health research, including randomized clinical trials.
* Excellent writing and communication skills.
Desired Skills
* Expertise in adaptive clinical trial designs
* Expertise in applying Bayesian principles to longitudinal and program
evaluation studies.
Employment Flexibility
* Though we prefer a full time employment situation, a less that full
time schedule can be considered for a highly qualified individual.
* The job location should be at one of RTI's established offices, however
a telecommuting situation can also be considered.
How to Apply
Please apply at out employment portal; this is a direct link to this
position www.rti.org/job12582
We are proud to be an EEO/AA employer M/F/D/V
- January 29, 2010 - Faculty Position Available in Statistics
The Department of Statistics, Pontificia Universidad Católica de Chile,
announces the opening of one tenure-track position at the Assistant
Professor level, beginning August 2010 or March 2011. Candidates
should have a doctoral degree in Statistics or a related field and
exhibit research potential and a commitment to teaching. Appointees
will be expected to pursue a vigorous research program and to teach
three undergraduate/graduate courses (only two during the first two
years). This position is financed by MECESUP grant PUC0802. For more
information see www.mat.puc.cl.
The Department of Statistics is the leading research group in Chile and
offers an undergraduate career, a Master's, and a Ph.D. in Statistics.
The Pontificia Universidad Católica de Chile is a highly selective
institution and its students are among the top 5% in the country.
Email letter of application, including a statement of research
interests, and curriculum vitae with publication list to
stats2010@mat.puc.cl.
Send at least three letters of reference,
relevant reprints/preprints, and transcripts to
Director
Departamento de Estadística
Pontificia Universidad Católica de Chile
Casilla 306, Santiago 22, Chile.
For full consideration, complete application materials must arrive by April 30, 2010.
- January 28, 2010 - Market Microstructure Analyst, Barclays Capital
The equity trading quantitative analytics team is responsible for the research and development for the equities electronic trading products and portfolio analytics. On the execution side, this research covers the execution algorithms, smart order routing, and dark liquidity crossing network. Our portfolio analytics platform includes quantitative diagnostics, risk analysis, optimization and the development of execution strategies. The position will conduct original empirical research in market microstructure in support of the indicated business lines. The successful candidate is also expected to engage in product development, client support and publication in journals related to quantitative finance.
Requirements:
Ph.D. in Econometrics, Finance or Statistics
Extensive knowledge of econometrics
Completed research in empirical market microstructure
Experience with software development in C, C++, C# or Java
Experience with handling large tick data files
Superior verbal and written communication skills, including presentations
We have a very strong preference for researchers with experience in applying state-of-the art Bayesian models.
This is a full-time position within the Equity Products division in New York. The estimated closing date is March 27, 2010.
Applicants must apply online at www.barcap.com using job reference number 22419, or try this link.
