Quantitative Analysis Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I'm looking for Data Scientists that are comfortable with SQL and are amply experienced in data mining and finding statistically significant variables among large data sets. For this particular project I'm looking to create a baseball projection model for a sports fantasy program. I need the newly created model to self-update and incorporate things such as daily lineups, etc. Prefer data scientists who have a familiarity comfort with sports analytics.
Skills: Quantitative Analysis Data mining Data Science SQL
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
We completed a thought leadership survey of 2000 US consumers. The key findings and positioning for the paper have been completed. We now want someone to go deeper into the cross-tabs to identify other helpful data points to expand the content of the white paper. We are looking for someone with significant quant research experience and the ability to effectively analyze data and turn into interesting and relevant findings.
Skills: Quantitative Analysis Market research Statistics
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
Looking for 2 analysts to take on the responsibility of data analysis and slide creation for approximately 5 quantitative surveys, to be fielded, analyzed, and reported on from July through September 2016. This role demands approximately 200 hours of time from each candidate over the timeframe previously mentioned, the bulk of which would take place from late August through September. High level details of the requirements associated are as follows: · Advanced knowledge of Microsoft Excel required · Knowledge of Microsoft PowerPoint slide and graph creation required · Overview training and demonstration of templates, processes, and expectations to be provided by ZHI staff to hired candidates in July 2016 · Expectation to organize raw data files (VLOOKUP, COUNTIF, SUMIF, etc.), create pivot tables, use pre-designed macros, and other functions in Excel · Expectation to translate data into PowerPoint slide formats · Expectation to perform initial proof reading of data and PowerPoint files · Ability to extrapolate key findings from data (ideal but not required) High quality performance on the project outlined above immediately qualifies a hired candidate for an offer to continue work with ZHI on an identical project to take place from October to December 2016. Please submit your questions and bids for candidacy no later than July 7, 2016
Skills: Quantitative Analysis Microsoft Excel Microsoft PowerPoint
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Hi everyone, I'm seeking a senior consultant with strong financial background especially in Forex trading. We have designed a predictive model based off news releases and price correlations, and I would like to have it reviewed and improved upon by a senior quant. The model is NOT built with "news release trading" in mind. Rather, it is to crunch news so as to form a long term fundamental view, and then extending it to factor in a trading model so as to take advantage of market inefficiencies and macro-economic imbalances. Ex-banking / trading experience required. This is a part-time position to work with developers / data scientists to further develop and extend the model after initial review.
Skills: Quantitative Analysis Foreign Exchange Trading Machine learning Python
Hourly - Entry Level ($) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Hello Searching for help with statistical analysis on annual and monthly trade data. The data includes approx 30 different countries, 15 importing and 15 exporting markets. Each with unique trade flows. The available data includes value of goods sold, quantity of goods sold, weight of goods. I seek help with; -pattern analysis -pattern recognition -make Pearson correlation coefficient -make Peaks and Trough for comparison -make Local minimum - Local maximum Look forward to hearing from you Best Regards
Skills: Quantitative Analysis Mathematics Statistics
Fixed-Price - Expert ($$$) - Est. Budget: $25 - Posted
Hello all I have a research in applied linguistics for an MA degree and I have some data to be analysed. I conducted a speaking test where the students were asked three questions orally, and each question was given the grade from zero to two. There were three groups, in each group there were thirty students. I need to prove that my test is reliable and valid. I have corrected the test. Also, another teacher has corrected the test with the same method I used so that I can calculate the reliability. But I stopped in this task and this is where I need the help. Should I use the inter-rater reliability ? Should I use the split-half reliability ? and how can I use each of them ? Is there another method ? and What about the validity of the test ? How can I prove it ? I need this to be done within a week. Also, I need the resources to be included in my dissertation. Thanks in advance !
Skills: Quantitative Analysis Data Analytics Linguistics Qualitative Research
Hourly - Entry Level ($) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
Are you an ambitious dynamic individual who can't wait to see the results of your hard work? Bored of your regular coding job and after something a little more exciting? A job where every day is different, and you are always learning new skills? So if you're already itching get to ahead in this world - and work your way up to financial investment model testing and development, investment analysis and trading - to enhance your technical and analytical skills, and to learn how the financial markets truly work, then there’s no better place than starting off as junior quant analyst with us. We’re a tech-savvy and entrepreneurial group. Our team is Agile. Focused. Engaged. Quantitative Analysts are both the front line and backbone of our revenue. We use cutting-edge technology to create tactical investment ideas, and engage high-powered intellect to execute. We thrive under the pressure of building a company on an exponential growth path. We’re here to support you and mentor you as you grow. You’ll benefit from being part of a tight knit, high performing team. This is an ideal opportunity for someone with a keen interest in financial markets, good technical skills and experience handling financial data, who wants to learn and grow while making a positive impact on our business every day. Our goal is to keep the team nimble, innovative, and focused on results. Ideas will be solicited from you, and tested by everyone in the company. Interested in joining our team? Here’s what we’re looking for: SOLID fundamentals with Excel ABILITY to learn financial software applications quickly Demonstrated Analytical experience: statistics, econometrics and or operations research. A burning desire to continuously learn new tech and skills despite your already stellar abilities. A willingness to think outside-the-box to generate ideas that produce revenue. Must be available to work UK hours. Must be able to make VOIP calls, e.g. Skype. Knowlege of MATLAB, SQL and or VBA preferred. Experience with financial data platforms such as Factset, Bloomberg and Barra, would be a distinct advantage. This position will start part-time, but could go up to full-time.
Skills: Quantitative Analysis Data mining Data Science Database Administration
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Hi there, I am looking for some help to analyse some data we have gathered from Linkedin. A description of the role is included below. I would like the applicant to be able to assist in extraction of as much value from the data as possible. An understanding of the recruitment or SaaS technology will be incredibly helpful. Look forward to hearing from you. Andy DESCRIPTION Purpose With so many new SaaS companies entering the Australian market we wanted to better understand their drivers for growth researching their human resources by role over time. Ideally this would help us understand the structure of a team as they enter a market, the key roles brought onboard to help scale a business locally and where this talent came from (roles, companies) We gathered the data using LinkedIn and have normalised the roles/titles into several general roles to simplify the analysis. Specifically we would like to understand; Current company profile - # of employees - Role profile Company historical growth - Employee growth rate over time - Growth by role Key inflection points in onboarding people - Average growth rate over time - Reviewing the aggregate data to get a picture of roles added over time. I.e. year 1, year 2, year 3, etc Previous experience - Understand the types of roles people were hired from into their current positions - Whether they came elevated from within the company or hired externally
Skills: Quantitative Analysis Business Analysis Data Analytics