Algorithm Development Jobs

31 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 - Expert ($$$) - Est. Budget: $4,285 - Posted
Edelweiss is a complete financial services firm, evolved over the years from a boutique investment bank. We have built a strong presence across verticals in the equity capital markets, financing, asset management and now retail business. The firm's culture promotes entrepreneurial and results-driven approach while teamwork and intellectual rigor are an integral part of one's performance. We encourage members to display higher levels of initiative, hunger for learning, be self- driven and taking on additional responsibility. Edelweiss considers itself as a “young” organization and defines young as hungry for growth and driving that hunger through innovation and creativity- our core values. Global Risk Group (GRG) is a centralized risk group which oversees the risk at the organization level and is responsible for identification, quantification, monitoring and management of risk. Some of its activities are listed below: 1. Provide the overall leadership, vision and direction for risk management in Edelweiss 2. Establish an integrated risk management framework for all aspects of risks across the Organization 3. Develop risk management policies, including the quantification of our risk appetite through specific risk limits 4. Implement a set of risk metrics and reports including key risk exposures and early warning indicators 5. Develop the analytical, systems and data management capabilities to support the risk management 6. Oversight of risk at an organizational level and adequate communication with the top management
Skills: Algorithm Development C++ MetaTrader 4 (MT4) Risk management
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
*Synopsis of the coding framework: Ex. Using two charts one is the Primary Chart ex. Daily chart to give a signal to the intraday chart, which is the secondary chart and make precise trades off the signals of the primary to tell the intraday chart to enter and exit out, and either, and this is important the ‘primary chart’ will tell the ‘intraday chart’ to go long or short the market on the signals given below in the requirements such as the trending ADX toggle and parameter toggle. The smaller time frame for ex. 2hr/1hr/30min chart to make trading dynamic. I also want to be able to change the primary chart to maybe sometimes a 4 hour primary chart and trade the intraday chart on something like a 30 min ex. And all in all it’s with which can be on auto-pilot without much maintainece*
Skills: Algorithm Development Algorithms C++ MetaTrader 4 (MT4)
Fixed-Price - Intermediate ($$) - Est. Budget: $4,500 - Posted
Project Description: Phase 1: We want to create a new learning experience through a new Learning Management System. Behind that Learning Management System, we want to build a recommendation API that suggests courses to employees. Phase 2: We want to build a “dashboard” feature that will show basic results of the recommendation engine. It shall show data like the percentage of the recommended course actually taken by the employee, etc. Frameworks and Platform: • Node.js • Linux Ubuntu LTS 14 (Infra for Testing & Deployment) API Functionality and Specifications: • Develop an algorithm which will map the employee’s skills with the training catalog and which will provide personalized training material though linked online courses. • Develop the delivery channels for recommendations. It will collect the employee's email from another service and then generate and send emails with the recommended training to the employee’s email account. • The API array output shall be in JSON or XML. This will be used by our software for recommendation data within other applications. The API will output parameters such as employee ID number, courses suggested, total recommendations sent, employee skills, etc. • Integrate with external social profiles like LinkedIn. Employees can indicate and authorize their LinkedIn accounts for the recommendation engine/API to collect their skills sets from their profiles. This API code shall run internally within the LMS. • An example of the data that can be used are skills classification based on the other factors like seniority and their role at the company. Milestones: Phase 1 1. Develop the API algorithm. 2. Develop the service that sends out emails with the employee's recommended training. 3. Integrate the API with the Learning Mangement System and email service. 4. Perform System Acceptance Test and bug fixes. 5. Perform User Acceptance Test with the client. Phase 2 1. Design the UI/UX of the dashboard. 2. Develop the front-end functions of the dashboard. 3. Develop the reporting functions of the dashboard. 4. Perform System Acceptance Test and bug fixes. 5. Perform User Acceptance Test with the client. 6. Deployment to prod server and handover of the API code. Assumptions: • The training contents will be stored in our in-house cloud server. • We will provide access to our software such as the LMS and course content server. • We will provide a dockered machine to map the data source structure on our cloud. • We wil provide access to data to model the recommendation engine/algorithm on. Timeframe: 10 weeks
Skills: Algorithm Development API Development Node.js
Hourly - Intermediate ($$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
I am currently seeking a senior engineer who is able to develop our trading strategies on Quantopian and Numerai. We will pay $25 per hour and we require a dedication of 20 hours a week into our projects for the first year, which will be contract work and project-based only . However, to ensure our interests are aligned, we are willing to share some of the profit with the chosen candidate to ensure IP stays with EquitySoft and to acquire a long-term commitment to EquitySoft. During the first year, i.e. now, our budget is CAD $850 per algorithm (both budget and experience will be considered for the position). After the first year, this individual is preferred to be able to commit more time to EquitySoft, and we can re-negotiate compensation then. We expect that the candidate be working at another firm currently already (or in the process of studying for a Masters Degree), and treats this position as a part-time position for the first year, and transition into a more fuller time position in the long run. Each of our algorithms MUST be completed within 2-3 weeks - hence we need someone who is experienced and knowledgeable. Our requirements are as follows: MUST: - be based in lower mainland BC Canada (e.g. Vancouver, Burnaby, Richmond, Downtown Vancouver) - be able to legally work in Canada - know how to code Python and C++ - have or in the process of completing a Masters Degree in Finance OR Masters Degree in Financial Engineering OR Masters Degree in Computer Science coupled with experience in investment firms or CFA PREFERENCE WILL BE GIVEN TO THOSE WHO HAVE: - prior experience in developing trading algorithms - prior professional experience at a registered investment firm or financial institution Please let me know if you are interested. Kind Regards, Sean Chan
Skills: Algorithm Development Machine learning Python Quantitative Analysis
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
Develop an approach to determine the opacity of smoke from an image. The smoke will be of all colors ranging from black to white. We believe a machine-learning approach could be the best solution but we are very open to hearing other proposed techniques. If the approach is machine-learning, we must be able to train with synthetic smoke imagery. When this project is complete, we will have the following: 1. Client captures an image of smoke using a single camera. 2. Client inputs the image into the program. 3. Using the program, client manually draws a boundary around the area of smoke that has the highest opacity. PLEASE NOTE: There will be different backgrounds for the smoke (sky, trees, buildings, etc.) that will not be controllable. The program must accommodate for this by removing the background or using another method to reduce the effect of varying backgrounds. 4. When the area is selected, the program outputs the average opacity for the area. Our company can develop the interface for the program. We need you to develop the part that programatically determines the opacity of the smoke. We are aiming for an accuracy level of +/- 10%. We have a smoke generator can read the opacity of the smoke it produces. We will use this generator to test the accuracy of your program. Please propose an outline of the steps you would take to complete the project as well as an estimated cost to complete each step.
Skills: Algorithm Development Artificial Neural Networks Image Processing Machine learning
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Have some coding work. need help Monday, 9/19 at 3pm EST when we get all team members together for an assignment. looking for a flat fee. are you available at this time? let's chat before hand and meet 30min before to make sure everything is ready. We have more work if we like you. PHP is good, RoR is good. Let me know what else you code, if you don't want to do those.
Skills: Algorithm Development Algorithms
Fixed-Price - Expert ($$$) - Est. Budget: $195 - Posted
Hi, I need some one who can make a blue print/white paper for turbotax Software .Remember it is not actual development work.It is a project to write the white paper that if i have to develop the turbotax software.What will be the Plan for that.Please see atttached. I need to start immediately. I need an specialist who can do the documentation.If you are able to give me the whitepaper/blue print I will be giving the entire software development project to you.
Skills: Algorithm Development Algorithms PHP White Paper Writing
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
X means give us the ability to set the value. I need algorithm that can help me figure out the fastest path from point A to point B passing through atleast X number of markers. These markers are point of interest on a map and are plotted throughout the map with exact location, latitude and longitude. The markers are not static and changes based on TIME. There are two types of markers: a. Active (stays active for 15 mins then turns inactive) b. Inactive (Inactive has a time (e.g. 9:10 PM) marked on it with it that shows the time it will become active, once active 15 mins later it will become inactive) I need the path to go through the most amount of ACTIVE markers. So it needs to consider that as they are walking the path that an inactive marker can turn active, and an active marker can turn inactive. It also should assume that every person will stop at the active path for X minute and will be walking X km/h. So for example a person walking from A to B all the markers they should be passing by has to be ACTIVE. The path created has to be humanly walkable. And the path should not exceed X times the distance of traveling directly from point A to point B. So for example the path created is: A -> Marker 1 -> Marker 3 -> Marker 4 -> B. This path cannot be greater than (X times) A -> B. It can utilise google maps or any other api if needs be to find humanly walkable paths This needs to be able to run on a node.js server I’ve attached a photo example
Skills: Algorithm Development Algorithms JavaScript Node.js
Fixed-Price - Entry Level ($) - Est. Budget: $1,000 - Posted
Would like to develop an algorithm that will produce body measurements from 2 full body photos. Given 2 full body photos with subject holding a fixed size object for reference (Front facing and side facing) we would like to have an algorithm that measures: - height - neck size - chest size - belly size - hip size - thigh size - inseam size (crotch to ankle) - sleeve size - torso size - shoulder size - arm size - waist size
Skills: Algorithm Development Deep Learning