If you want to create a trading system, run a statistical analysis, develop a pricing model, build a financial GUI, or find a pattern in a sea of data, I may be the guy to help. I work primarily in MATLAB, C#, and Python. On the finance side, I'm a CAIA Charterholder, with an Economics degree and experience at McKinsey & Company. On the technical side, I hold degrees (with honors) in Engineering, and worked at a number of California tech companies through the 1990's and early 2000's. Since 2008 I've focused my work in the field of computational finance. Recent clients have included: a Swiss proprietary trading desk (Energy Futures), a Canadian hedge fund (Currencies), a US asset management firm (Equities & Bonds), a US portfolio consulting firm, a US aircraft manufacturing operation, and several others. For those clients I have developed, backtested, and deployed alpha-seeking trading strategies, automated execution algorithms, portfolio optimization models, user-friendly GUI tools. Techniques have included machine learning algorithms, classifiers, feature detectors, digital filters, matrix-based models, and concepts borrowed from detection theory and signal processing, along with various technical analysis indicators. I've worked with many financial platforms and data feeds: Deltix QuantOffice (C#), CQG API, Bloomberg, Interactive Brokers API, MultiCharts (PowerLanguage), MultiCharts.NET (C#), TradeStation (EasyLanguage), FIX (HotspotFx), ITCH (HotspotFx), etc. I can integrate other systems with MATLAB or Excel where there's an advantage. I've created C/C++ .mex files, VBA macros, Java/MATLAB integration, MATLAB/Excel integration. I've been programming in MATLAB since 1990, and can sometimes get it to do things that others can't. I can also translate or port a MATLAB application to other languages, especially Python or C#. I'm located in Southern California. For clients located within 2 hours, I can drive to meet you (sometimes same day, schedule permitting). I'm also happy to work remotely. I'm a US Citizen and have held a security clearance, though it is no longer active. The foundation of every successful project is good communication. If you have a project that needs to be done well, then let's communicate!
Financial modeling Job Cost Overview
Typical total cost of oDesk Financial modeling projects based on completed and fixed-price jobs.
oDesk Financial modeling Jobs Completed Quarterly
On average, 82 Financial modeling projects are completed every quarter on oDesk.
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Time needed to complete a Financial modeling project on oDesk.
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Financial modeling oDesk freelancers typically receive a client rating of 4.80.
I have over 9 years of expirence in Software Development in different projects on different positions. Started as C++ developer I moved to Team Leader ans Senior .Net developer in russian bank. I choose one of programming languages such as C#, C++ or Java due to the task and have no fear to learn new things. I'd like to get a task, understand employer needs, organize development process/team (if required), and work (including both managment and development tasks then required) until task will be done for employer satisfaction.
Over the last 18 years, I have helped technology start-ups and SMBs start and grow their business by offering my skills in Business and Financial consultancy, Product/Project Management and Operations management. My core competency lies in lean startup methodologies, Business and Financial models, MVP development, customer validation and development, Go-to-market frameworks, Business and Marketing Plans, Product lifecycle management, Agile methodologies, and I also have over 7 years of technology startup operations management experience. Also, I am a Level 2 Chartered Financial Analyst from CFA Org., Virginia, USA and Bachelor of Engineering. I also have over 8 years of experience as a software developer with experience in AngularJS, NodeJS/ExpressJS, MongoDB with Mongoose, Ionic framework, Android SDK, Sass (with Compass),LAMP Platform expertise in Wordpress, Joomla, Drupal. Work with GitHub, BitBucket. Editors: Eclipse, WebStorm, Sublime Text2. Also a certified SCRUM master. I have helped MBA students from reputed universities in the US, Australia, UK and Canada with their projects and assignments for the past 3 years. Having worked on similar assignments, I know exactly what is expected from MBA students to get high grades.
I have 5 years of experience in the finance industry and over 10 years of experience in VBA development. Now I specialize in market analysis, financial modeling and business plans writing. It is worth mentioning that I have passed CFA level II exam. I am proficient in: - Financial modelling - MS Access databases development - Excel macros development
Abhishek R. Agency Contractor
I am an Analytics Professional with rich background of analytics, modeling, model validation and reporting in domains of financial analytics, equity valuation, financial engineering, trading algorithms and credit risk analytics. I am proficient in statistical modeling in Forecasting/Predictive Analytics, Segmentation Methodologies, Regression Based Models, Hypothesis Testing, Factor Analysis/PCA, Conjoint Analysis, Scorecard Modeling, Artificial Intelligence (Neural Networks, Genetic Algorithm, etc), Optimization Techniques, Co Integration, VAR, VECM, text scoring, image processing, real time video analysis, etc. I also have a rich experience of building user friendly reports to give better visibility of business and aid Strategy & Planning. I have extensive experience in various statistical tools like R, SAS, SPSS, Matlab, Minitab, Octave, Stat. I am extremely conversant with algorithms. I am skilled in different programming laguages like C, C++, C#, Java, Python, CudaC as well as functional programming languages like F#. I am experience in Big Data analytics like Hadoop using NoSQL, Mapreduce framework, Hive and Pig scripts. I have experience in developing models using Excel VBA. I am currently pursuing CFA (Level II candidate) and FRM (Level 1 Candidate). Demonstrated Success record in: Statistical Arbitrage in Pairs trading strategy using Co Integration, VAR, VARMA, VECM approaches Value-Growth-Cash investing Valuation of Structured Products Sentiment analysis using text scoring (naive Bayes, regressive models, Machine learning and EM algorithms) Market Efficiency analysis to identify pockets of inefficiency in emerging markets Developing statistical models for credit risk estimation for wholesale loan portfolios Developing models for economic capital required under Basel II norms Develop equity and fixed income valuation models Pricing models for products/services in Pharmaceutical sector, Energy sector, etc. ......and many others
I am a computer scientist whose main skills are in the field of data analysis, pattern recognition, statistical software, machine learning and large scale system design and integration. I have developed systems using Neural Networks, Markov chains, Support Vector Machines in various applications: OCR, image processing, data analysis, text indexing and retrieval. I am also proficient in 3D image visualization using common off the shelf libraries and methodologies, either low or high level, like OpenGL, DirectX, VTK, Java3D. I understand and use common ray tracing programs. I understand image processing topics like segmentation, thresholding, classification. I have worked in the past in a 3d Face recognition European project. I know the OpenCV library quite well. In the field of "general programming" I have a good understanding of Databases, multi threaded applications, sockets, pipes, encryption (symmetric and asymmetric), compiler design, operating systems, low level data structure in memory and on disk, data integrity. I consider myself an expert in data structures and algorithms: trees, queues, lists, b-trees, hash tables; I use standard libraries like STL, Boost, Java generics. I have a good knowledge of SQL and data normalization however I have also used custom No-SQL databases like Datadraw, MapDB, Tokyo Cabinet, Zope. I know all the basic algorithms and templates used in every day coding; regarding data integrity and security. Compression (lossy and lossless), symmetric and asymmetric encryption, public certificates, I have worked with OpenSSL programming, encrypted web services, packet sniffers. I am proficient in all the common every day languages with an emphasis on C++ and Perl. But I can use: Java, Python, Visual Basic, C#, PLSQL, Delphi. I know all the Object Oriented Programming concepts and design patterns and I use them if the need arises, but I am also able to write object-free programs in C or functional languages (like Haskell or Scheme). I know modern version control systems like git and mercurial, even if I can use also older ones like Subversion or CVS. I know Windows programming and API quite well. I have used WPF and WCF to create desktop applications in Windows and web services. I have used Linux and Gui toolkits like Qt which are platform independent. I know XML, XSL, I have used several parsers like the MsXML or Xpath. I know how to validate a XML with a schema. I have worked with a team that handled thousands of XML documents relating to air crashes in a SQL server database. I am able to talk and write in English with fluency. If anything is not listed here either I have forgotten to list it or I can probably learn it quite fast, so don't hesitate in asking!
I was born in Italy. After graduating in Physics at the University of Pavia, Italy, I went to England for my PhD in quantum physics at the University of Hertfordshire. During the following years, I did several jobs mainly in research. I now work for the public sector in Luxembourg.
Vicente Gambito Agency Contractor
Acquire knowledge and improve skills in order to work more efficiently in completing online jobs. Build on small and simple successes and share the expertise with others. Build an online support team. Currently, I am very interested in data gathering and checking activity and that is why I am willing to take on a test assignment to show that I can do the job and acquire enough information to be able to make a competitive bid. I prefer to bid for a fixed price like $3/100 rows after I examine the source site. I have some scraper tools that allow me to do semi-automatic data scraping.