Mission
Our mission is to provide high quality computing services and create innovative solutions for our clients. To assimilate and integrate research into the realm of software application and to facilitate the utilisation of scientific and quantitative technologies in financial markets.
Vision
To establish Stochastic Logic as a symbol of excellence, quality and trust in the financial computing sector. To create value for our clients through knowledge and expertise. To ensure enduring value for our clients and establish trusted, long term relationship.
The team is led by Arif Dowla. He has a Ph.D. in Mathematics from University of California, San Diego specializing in nonstationary time series. His thesis advisor, Dimitris Politis is a renowned time series analyst and specializes in computer intensive statistical methods. The field of time series is extremely strong in UCSD, since the Nobel Prize in Economics has been granted to two renowned time series analysts Clive Granger and Robert Engle. Granger was his time series instructor in 1997. He is now in Bangladesh and have developed and trained a team of computer science graduates from the premier engineering institution in Bangladesh [Bangladesh University of Engineering and Technology].
SL Member's
Dr. Arif Dowla
Managing Director
He is specialized in nonstationary time series.
His thesis advisor, Dimitris Politis is a renowned time series analyst and specializes in computer intensive statistical methods.
Tamjid Al Rahat
Quantitative Software developer
Tamjid is primarily interested in large scale Machine Learning. He has worked in several projects on Statistical Machine Learning and Natural Language Processing. He is skilled in Python, Java and C++. He also possesses a good skill in Tensorflow, a well known Machine Learning framework.
Tamjid has completed his graduation from CSE department of BUET in 2016.
Md. Mizanur Rahman Nur
Quantitative Software developer
He is an adroit Software developer; He is conversant with numerous programming languages like ASP.Net, C#, MFC, C++, JAVA, JAVAScript, JQuery, Ajax, MatLab.Net, DHTML, HTML, CSS. He is an expert in Networking and Data-mining and excels in performance in the realm of web development.
Mizan likes to play with programming languages. One of his most powerful ability is cross platform development.
Bashima Islam
Quantitative Software developer
She is an undergraduate student in the department of Computer Science & Engineering of Bangladesh University of Engineering & Technology. Her primary interest is in Data mining and Social Network Analysis. She is doing her thesis on “Relaxed Synchronization for Approximate Computing”.
In 2013 she along with her team won the “National Championship of Microsoft Imaging Cup, 2013 and competed in the final at Russia.
Former SL Members
Md. Tamzeed Islam
Quantitative Software developer
His primary interest is in Data Mining and Machine Learning. He has worked in a couple of Social Network Analysis projects. Tamzeed participated in the Microsoft Imagine Cup, 2013 and became champion in the national final round.
He is currently in level four (4) terms one (1) student in BUET (Bangladesh University of Engineering and Technology) at CSE department.
S.M. Ferdous
Quantitative Software developer
He has descent grasp in mathematical modeling of derivative pricing. He has worked on high frequency trading technology, has knowledge on data-mining and machine learning. He is proficient in modeling and simulation in MATLAB. His research interest includes Machine Learning, Data Mining and Human Computer Interaction.
Ferdous has descent knowledge on structural programming and object oriented programming. He is currently pursuing PhD at Purdue University.
Md Mustafizur Rahman
Quantitative Software developer
His areas of interests are Data Visualization, Text Mining, Machine Learning and Human Computer Interaction. He is an expert programmer on several language i.e. C, C++, C#, Java, Matlab, R, SQL, GoogleVis, PHP etc. Currently, he is developing software which is incorporating the idea of text mining, machine learning and data visualization. He also conducted study on Credit Derivative Swap.
Mustafiz is currently pursuing PhD at University of Virginia.
Shubhra Kanti karmaker Santu
Quantitative Software developer
He is an expert in artificial intelligence, machine learning, data mining, meta-heuristics and pattern recognition. He has also worked on market behaviour analysis, customer behaviour and product trend analysis. He also conducted study on Credit Derivative Swap.
He is a Ph.D. student in University of Illinois at Urbana-Champaign
Ashique Rupam Mahmood
Quantitative Software developer
Rupam Mahmood developed the web modules providing quantitative financial solutions for Stochastic logic.
He is a reinforcement learning researcher with primary research interest in developing general-purpose artificial minds. His PhD thesis supervisor is Prof. Richard Sutton, the pioneer of reinforcement learning research.
Rajib Nath
Quantitative Software developer
He worked in time series modelling and regime switch detection.
He is a Ph.D. student in University of California, San Diego. His research area is energy efficient computer archictecture.
Md. Reaz Uddin
Quantitative Software developer
His specialization was in Modeling Financial Time Series: 1) Fitting linear and non-linear models on Time Series data to estimate future values. 2) Determining future values by eliminating known patterns and fitting ACD. Also, identifying lead-lag relationship by measuring cross-correlation between two different Time Series. He also worked on the modules available online.
Reaz is currently pursuing PhD in Computer Science & Eng. at UCR. He is working on spatio-temporal data.
Abdullah Al Mahmud
Quantitative Software developer
He is an expert at algorithms, problem solving and development.
Presently he is working as a VISITING ACADEMIC FELLOW in International Islamic University of Malaysia.
Sajal Dash
Quantitative Software developer
He is specialized in Credit Derivatives. His expertise lies in Default Modeling, Recovery Modeling and Derivatives Pricing. He is now concentrating on the application of Copula Methods in finance. With his Computer Science background his area of interest covers various data mining algorithms and analysis of financial time series.
Sajal join University of North Carolina at Chapel Hill as a PHD student. He will conduct his research in the field of Bioinformatics.
Saikat Chakraborty
Quantitative Software developer
Saikat has firm grasp on mathematical modeling and optimization. He is particularly interested in Machine Learning and Information retrieval, and application of these. His motivation to attain tenacity on work topics drives him forward.
He possesses a good programming skill on MATLAB, Java, C++. He is also well acquainted with the modern software engineering tools and techniques like version controlling, agile software development , dependency inversion principle.
Masruba Tasnim
Quantitative Software developer
She was the leading member in developing "Complexity Management Software" in JAVA which incorporated the idea of data visualization and text mining. She also worked on the high frequency trading technology.
Masruba is proficient in algorithms and several programming languages like C, C++, JAVA, MATLAB, SQL etc. Her area of research interests are Algorithms, Data Mining, Bioinformatics and Computational Biology, Machine Learning etc.
Anindya Das
Quantitative Software developer
He is an expert on algorithms and data analysis. He has worked on developing a Complexity Management Software for efficient visualization of data by creating directed graph of keywords from a text document. He is passionate about problem solving and setting problems in programming contests and informatics olympiads.
He is currently pursuing PhD in Computer Science in Iowa State University.
Mohammad Atiqul Haque
Quantitative Software developer
He was one of the pioneers of SL. He was involved in many software projects of SL. His specialization was in statistical models and analysis.
Atiq is currently pursuing PhD in Computer Science at George Mason University, Virginia. He is interested in Algorithms, Real-time Systems and Power-aware Computing.
Saikat Roy
Quantitative Software developer
He was one of the first few recruits of SL. Saikat involved in quite a few software projects at SL. His specialization was in developing applications for option-pricing, and generating yield-curve. He was one of the pioneers of SL.
Saikat is currently pursuing MS in Computer Science at Oregon State University, OR, USA. He is interested in Machine Learning, Software Development and Engineering.
Mohammad Raziul Hasan
Quantitative Software developer
He is adept at Interest Rate Modeling, Option Pricing and Volatility Surface modeling. He is proficient in several programming languages and Data-mining, inventive in building mathematical models with the utility of those.
He also holds interest in nano-scale device modeling, VLSI, Carbon nanotechnology.
Md. Ariful Islam
Quantitative Software developer
He is interested in interest rate modeling. He is specialized in LIBOR market model, BGM, HJM and different type of interest rate model. He has also gained expertise on pricing different type of option, portfolio optimization, and hedging and risk management analytics. As a computer science graduate, he is interested in algorithmic trading and applying different type of machine learning and data mining techniques in finance to make market more efficient.
He is going to pursue his PhD in computer science in Stony Brook University from Fall 2010.
Rukhsana Yeasmin
Quantitative Software developer
Her areas of interests are Financial Analysis, Bioinformatics and Computational Biology, Data Mining and Machine Learning. She has conducted study on various fields including Credit Derivatives Modeling, Options Pricing, Trend Analysis, Interest Rate Modeling, Time Series Analysis and Portfolio Analysis. She worked on implementation of various Machine Learning Techniques.
Rukhsana is going to seek her PhD degree in Computer Science from the State University of Newyork, Stony Brook.
Shuvra Kanti Nath
Quantitative Software developer
He has specialization in Calibration techniques. He is an expert in the field of Volatility Modelling, Hedging, Data Mining Techniques.He is skilled in many programming languages. His research interest includes bioinformatics, artificial intelligence and machine learning.
Shuvra join Texas A&M University at September, 2010 as a PHD student. He will conduct his research in the field of Bioinformatics.
Former SL Members