Quantitative Analysis Jobs

40 were found based on your criteria {{ paging.total|number:0 }} were found based on your criteria

show all
  • Hourly ({{ jobTypeController.getFacetCount("0")|number:0}})
  • Fixed Price ({{ jobTypeController.getFacetCount("1")|number:0}})
Fixed-Price - Intermediate ($$) - Est. Budget: $50 - Posted
I am looking for someone with backgrounds in quantitative analysis skills (operations management or mathematics or research experience in either). The task requires the conversion of a written solution (analytical solution) to a mathematical solution and supporting proof of the solution. A sample work and the analytical solutions will be provided to assist with the solutions procedure. Strong research backgrounds in maximization/minimization problems and/or calculus will be an advantage. The work is available within the next three days. I am happy to discuss it before sending it to any interested researcher.
Skills: Quantitative Analysis Business Mathematics Calculus Mathematics
Fixed-Price - Intermediate ($$) - Est. Budget: $150 - Posted
Looking for a Excel Expert to help finish a project. Three things need to be done. 1. Auto update the database from Yahoo Finance. 2. Calculate the correct rate of return given the dates. (It mostly works now, but the latest date does not adjust when the recent date is adjusted). 3. While this is not vital to the project, I need to rebalance the portfolio over the time period discussed. Contact me for more questions. I will also send you the spreadsheet we are talking about.
Skills: Quantitative Analysis Microsoft Excel Statistics
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
I need a Quantitative Analyst to create Betfair football trading systems. You should know how Betfair works already. I have the basic system outline ready, I need a method of identifying value bets including entry and exit points. Once finished this will be packaged up and sold to the general public. If you can do this job well, I have plenty of other work for you.
Skills: Quantitative Analysis
Hourly - Entry Level ($) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
looking for somone who can calculte my data and finding out statistical value between varailbles
Skills: Quantitative Analysis
Fixed-Price - Expert ($$$) - Est. Budget: $300 - Posted
Looking for an experienced expert for analyzing the renewable energy database in the UK. The ordinary data is about 597 wind onshore projects in the UK and the number of relevant documents is a lot. Looking for someone that have time to deal with the data and analyze them in the following 4 days. And the skill to handle and analyse the data is required (familiar with using Excel). The basic job is listed: 1. Collect the refusal planning applications of wind onshore schemes from the Renewable Energy Public Database. (i have already done 300, the rest might be undertaken by me) 2. Quantitative analysis of the wind onshore refusal reason. Other Requirements: 1. The analysis need to be completed before the afternoon of 27/08. 2. Have the ability to manage the data 3. quantitative analysis 4. It is better to familiar or have the experience on using renewable energy database.
Skills: Quantitative Analysis Data Analytics Microsoft Excel Statistics
Fixed-Price - Intermediate ($$) - Est. Budget: $350 - Posted
Looking for a qualified data analyst to go through raw property data in Australia: - Median prices, price movements and momentum per suburb last 18 years (houses and units) - Demographics data per suburb - Interest rate movements : http://www.loansense.com.au/historical-rates.html Full list of variables: State Suburbs Postcode Distance from CBD Separate data for all houses, 3 br houses, all units, 2 br units Asking property price Median Asking property price Change on prev week Asking property price Rolling month % change Asking property price Rolling quarter % change Asking property price 12 month % change Asking property price 3 year % change Rental asking price Median Rental asking price Change on prev week Rental asking price Rolling month % change Rental asking price Rolling quarter % change Rental asking price 12 month % change Rental asking price 3 year % change Vacancy rate (Red number) Walkscore.com Median age Couples without children (%) (2011) Couples with children (%) (2011) One parent familes (%) (2011) Other families (%) (2011) Weekly family income (2001) Weekly family income (2006) Weekly Family Income (2011) Median mortgage repayments (2011) Median Rent (2011) Separate house % (2011) Semi-detatched % (2011) Flat, unit, apartment % (2011) % Owned outright (2011) % Owned with mortgage (2011) % Renters (2011) 1 bedroom (2011) 2 bedroom (2011) 3 bedroom (2011) 4 bedrooms (2011) Median number of cars (2011) Identify trends using different mathematical regressions and correlations and determine the highest capital growth areas and potentials. What will be provided: - Spreadsheet with raw data (outputs above Questions: - What suburb can I invest into today (houses and separately units) that will achieve the strongest growth within the next 10 years? - What suburbs are the safest blue-chip investment areas (house and units) - What type of property should I buy in those suburbs (1br, 2 br etc)? - What variables most impact property price movements? - Affordability vs mortgage repayments - ROI / yield per suburb (rental yield) - All other useful data / analysis Outputs: - Formulate spreadsheet into a more readable and easy to understand document - Conduct a series of trend analyses and determine what the best drivers of 'capital growth are'. - Provide easy to access graphs and data to support conclusions - Assumptions - Workings - The output needs to be able to automatically change if raw data is updated. Project is a highly autonomous one and we are looking for a fast turnaround. Qualifications: - All basic skills and mathematical knowledge needed for a project like this - Deep intuition and understanding of property - Love of numbers and deep data diving. - Ability to create reports for an end user making investment decisions with clear explanations of theory (short-hand - no long essays) and proofs. - Understanding of investor sentiment and 'herd mentality' and price momentum The outputs need to be understandable for any layman. Please provide samples of data / projects you have done in the past and a methodology you would use. After this project we have a much more in depth analysis within suburbs that may be available depending on successful completion of this one. Best, Alan
Skills: Quantitative Analysis Data Analytics Data Modeling Data Science
Fixed-Price - Expert ($$$) - Est. Budget: $80 - Posted
Looking for SPSS expert who needs to carry on some statistical techniques, i.e., Descriptive statistics, Cluster analysis, Regression analysis, and Factor analysis. I am going to give you a SPSS file which contains data from an international survey on purchasing practice among manufacturing firms. I have been working on the dataset for 2 years now. However, the dataset I am going to give you, is a subsample of the whole dataset. I am also going to attach the instrument, that is, the actual questions that I used for the survey. Now, what you have to do, is similar to the article "An empirical taxonomy of purchasing functions" by Paul Cousins. You can download the article from this link http://www.emeraldinsight.com/doi/abs/10.1108/01443570610672239. Keep in mind, the article is not based on the data I give you. I am providing it so you can understand the context of what you have to do. If you are not able to download the article, I will provide you the article in the message option. I will also provide the data file and the actual survey in the message section once you are settled for the job. Now, I need the following from you, 1. Try to describe the maturity of the purchasing function in the sample. 2. Try to assess the impact of purchasing function maturity on purchasing category performance. 3. Try to assess the impact of purchasing function maturity on financial performance. The answers need not to be too long as long as you cover all the critical findings. I recommend using factor analysis, cluster analysis, descriptive statistics (like the mean value) and regression analysis. I also recommend that you illustrate your model(s) with help of dependent and independent variables and arrows. Please feel free ask me questions. I very much encourage it. Thanks!
Skills: Quantitative Analysis IBM SPSS