Quantitative Analyst - High Frequency Trading
Dolat Capital is a multi-strategy trading firm, dedicated to producing superior returns by adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra-low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive in terms of latency.
The Quantitative Research team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behavior of markets.
The incumbent will be responsible to design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for a high-frequency trading environment
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Role - Senior Analytics Executive
Experience - 1-2 years
Location - Open (Remote working option available)
About Company :-
Our team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to Google's business. Our team operates in a seamlessly integrated way across strategy, planning, investment, creative, business sciences and analytics, data and technology. The profile of people who work are world class, committed to establishing a new high water mark in the media industry.
About the role/ Some of the things we'd like you to do:
- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.
- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.
- Collaborate with internal stakeholders across disciplines and countries to understand client objectives, providing support and expertise in data and analytics while identifying opportunities for advanced analytics solutions.
- Formulate strategic recommendations with the team based on gathered insights, and support the delivery of reporting for clients.
- Continuously improve project performance and processes by collaborating with the team to develop new tools and solutions.
About yourself/ Requirements:
- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)
- 1-2 years of relevant work experience in data analysis; digital media experience desired
- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).
- Is proficient in statistical principles and how they apply to tasks/work items.
- Excellent problem-solving skills and the ability to analyze complex data sets.
- Strong communication and interpersonal skills, with the ability to present data-driven insights to both technical and non-technical audiences.
- Ability to work independently and as part of a team, with strong collaboration skills.
- Demonstrated ability to manage multiple projects and prioritize tasks effectively.
- Passion tor continuous learning and staying current with industry trends and best practices in analytics.
- 3+ years experience in practical implementation and deployment of ML based systems preferred.
- BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
- Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Company Profile:
The company is World's No1 Global management consulting firm.
Job Qualifications
Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
2-5 years of relevant experience
Adept in forecasting, regression analysis and segmentation work
Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
Excellent time management skills
Good written and verbal communication skills; understanding of both written and spoken English
Strong interpersonal skills
Ability to act autonomously, bringing structure and organization to work
Creative and action-oriented mindset
Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
Ability to work under pressure and deliver on tight deadlines
Role : Sr Data Scientist / Tech Lead – Data Science
Number of positions : 8
Responsibilities
- Lead a team of data scientists, machine learning engineers and big data specialists
- Be the main point of contact for the customers
- Lead data mining and collection procedures
- Ensure data quality and integrity
- Interpret and analyze data problems
- Conceive, plan and prioritize data projects
- Build analytic systems and predictive models
- Test performance of data-driven products
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements (please read carefully)
- Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
- Msc-Statistics/ Phd.Statistics
- Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
- Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
- Proven experience as a Data Scientist or similar role, for about 7-8 years
- Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
- Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
- Knowledge of data management and visualization techniques --- more from a Data Science perspective.
- Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
- Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.
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Designation: Perception Engineer (3D)
Experience: 0 years to 8 years
Position Type: Full Time
Position Location: Hyderabad
Compensation: As Per Industry standards
About Monarch:
At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies.
With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world.
Description:
We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware.
Technical Skills:
- Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary.
- Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional.
- Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP.
- Experience in two view and multi-view geometry.
- Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV.
- Academic experience for freshers in Vision for Robotics is preferred.
- Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply.
- Software development experience on low-power embedded platforms is a plus.
Responsibilities:
- Understanding engineering principles and a clear understanding of data structures and algorithms.
- Ability to understand, optimize and debug imaging algorithms.
- Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform.
- Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents.
- Optimize runtime performance of designed models.
- Deploy models to production and monitor performance and debug inaccuracies and exceptions.
- Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives.
- Thrive in a fast-paced environment and can own the project end to end with minimum hand holding.
- Learn & adapt to new technologies & skillsets.
- Work on projects independently with timely delivery & defect free approach.
- Thesis focusing on the above skill set may be given more preference.
What you will get:
At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.
Work Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
Job Description: Data Scientist
At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.
We are a Remote-First Company.
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What will help you be successful in this role
- Articulate
- High Energy
- Passion to learn
- High sense of ownership
- Ability to work in a fast-paced and deadline-driven environment
- Loves technology
- Highly skilled at Data Interpretation
- Problem solver
- Ability to narrate the story to the business stakeholders
- Generate insights and the ability to turn them into actions and decisions
Skills to work in a challenging, complex project environment
- Need you to be naturally curious and have a passion for understanding consumer behavior
- A high level of motivation, passion, and high sense of ownership
- Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
- Flexibility to work on multiple projects and deadline-driven fast-paced environment
- Ability to work in ambiguity and manage the chaos
Key Responsibilities
- Analyze data to unlock insights: Ability to identify relevant insights and actions from data. Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.
- Bring in experience for AI and ML: Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
- Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights.
- DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs. Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.
Technical Skills
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.
- Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
- Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
- Strong experience with popular database programming languages including SQL.
- Strong experience in Spark/Pyspark
- Experience in working in Databricks
What are the company benefits you get, when you join us as?
- Permanent Work from Home Opportunity
- Opportunity to work with Business Decision Makers and an internationally based team
- The work environment that offers limitless learning
- A culture void of any bureaucracy, hierarchy
- A culture of being open, direct, and with mutual respect
- A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
- The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives
To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE
Whom will you work with?
You will closely work with other Senior Data Scientists and Data Engineers.
Immediate to 15-day Joiners will be preferred.
About Quidich
http://www.quidich.com">Quidich Innovation Labs pioneers products and customized technology solutions for the Sports Broadcast & Film industry. With a mission to bring machines and machine learning to sports, we use camera technology to develop services using remote controlled systems like drones and buggies that add value to any broadcast or production. Quidich provides services to some of the biggest sports & broadcast clients in India and across the globe. A few recent projects include Indian Premier League, ICC World Cup for Men and Women, Kaun Banega Crorepati, Bigg Boss, Gully Boy & Sanju.
What’s Unique About Quidich?
- Your work will be consumed by millions of people within months of your joining and will impact consumption patterns of how live sport is viewed across the globe.
- You work with passionate, talented, and diverse people who inspire and support you to achieve your goals.
- You work in a culture of trust, care, and compassion.
- You have the autonomy to shape your role, and drive your own learning and growth.
Opportunity
- You will be a part of world class sporting events
- Your contribution to the software will help shape the final output seen on television
- You will have an opportunity to work in live broadcast scenarios
- You will work in a close knit team that is driven by innovation
Role
We are looking for a tech enthusiast who can work with us to help further the development of our Augmented Reality product, https://www.quidich.com/services/spatio">Spatio, to keep us ahead of the technology curve. We are one of the few companies in the world currently offering this product for live broadcast. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of software development and computer vision systems. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for candidates that are passionate about the product and embody our values.
Responsibilities
- Working with the research team to develop, evaluate and optimize various state of the art algorithms.
- Deploying high performance, readable, and reliable code on edge devices or any other target environments.
- Continuously exploring new frameworks and identifying ways to incorporate those in the product.
- Collaborating with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning etc.
Minimum Qualifications, Skills and Competencies
- B.E/B.Tech or Masters in Computer Science, Mathematics or relevant experience
- 3+ years of experience in computer vision algorithms like - sfm/SLAM, optical flow, visual-inertial odometry
- Experience in sensor fusion (camera, imu, lidars) and in probabilistic filters - EKF, UKF
- Proficiency in programming - C++ and algorithms
- Strong mathematical understanding - linear algebra, 3d-geometry, probability.
Preferred Qualifications, Skills and Competencies
- Proven experience in optical flow, multi-camera geometry, 3D reconstruction
- Strong background in Machine Learning and Deep Learning frameworks.
Reporting To: Product Lead
Joining Date: Immediate (Mumbai)