We will build a comprehensive backtesting platform for trading in the NSE F&O segment.
Any knowledge of financial markets is a bonus
About RITES
Similar jobs
heads to solve complex business problems
- Develop statistical, and machine learning-based models/pipelines/methods to improve business
processes and engagements
- Conduct sophisticated data mining analyses of large volumes of data and build data science
models, as required, as part of the credit and risk underwriting solutions; customer engagement and
retention; new business initiatives; business process improvements
- Translate data mining results into a clear business-focused deliverable for decisionmakers
- Working with Application Developers on integrating machine learning algorithms and data mining
models into operational systems so it could lead to automation, productivity increase, and time
savings
- Provide the technical direction required to resolve complex issues to ensure the on-time delivery of
solutions that meet the business team’s expectations. May need to develop new methods to apply
to situations
- Knowledge of how to leverage statistical models in algorithms is a must
- Experience in multivariate analysis; identifying how several parameters can affect
retention/behaviour of the customer and identifying actions at different points of the customer lifecycle
Extensive experience coding in Python and having mentored teams to learn the same
- Great understanding of the data science landscape and what tools to leverage for different
problems
- A great structured thinker that could bring structure to any data science problem quickly
- Ability to visualize data stories and adept in data visualization tools and present insights as cohesive
stories to senior leadership
- Excellent capability to organize large data sets collected from many sources (web APIs and internal
databases) to get actionable insights
- Initiate data science programs in the team and collaborate across other data science teams to build
a knowledge database
Your Day-to-Day
- Assist our Growth Strategists in analyzing the results of A/B experiments.
- Analysis on customer engagement rates, customer acquisition projects ( ex. Churn rate prediction, Attribution etc. )
- Analyse marketing channel performance and Deep-dive reports to stakeholders and Management
- Building statistical experimentation templates for faster A/B outputs
- Work on forecasting models and assisting senior Management in creating frameworks on growth models
- Local implementation of marketing analytics projects related to improving marketing channels effectiveness, customer segmentation, campaign optimization, etc
- Monitor campaigns against key performance indicators (KPIs), be fully aware of trends and analytics, success and risks in order to achieve business objectives.
- Communicate complex ideas into understandable reports/documentation and this will include leveraging on leading software tools such as Tableau.
Your Know-Know
- 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
- Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
- Must have SQL/PostgreSQL/Tableau Experience.
- Added advantage: Experience with Google Analytics, CRM (MoEngage, Braze,Leanplum).
- Preferred knowledge of statistical computer languages (Python / R, etc).
- Analytical mindset with ability to present data in a structured and informative way
- Enjoy a fast-paced environment and can align business objectives with product priorities
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
- 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
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.
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
We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.
Experience Required
- Medium to Expert level proficiency in either R or Python.
- Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
- Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
- Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
- Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
- Medium-to-Proficient in creating beautiful Tableau dashboards.
- Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
- Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.
Good to Have
- Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
- Experience of working in the Gaming domain
- Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
- Experience in building and maintaining Data Warehouses in AWS would be a big plus!
Benefits
- PF and gratuity
- Working 5 days a week
- Paid leaves (CL, SL, EL, ML) and holidays
- Parties, festivals, birthday celebrations, etc
- Equability: absence of favouritism in hiring & promotion
The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.
At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.
Candidates will be expected to lead projects across several areas such as
- Demand forecasting
- Inventory management
- Simulation & Mathematical optimization models.
- Procurement analytics
- Distribution/Logistics planning
- Network planning and optimization
Qualification and Experience
- 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
- Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
- Hands-on experience in delivery of projects using statistical modelling
Skills / Knowledge
- Hands on experience in statistical modelling software such as R/ Python and SQL.
- Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
- Highly proficient with Excel, PowerPoint and Word applications.
- APICS-CSCP or PMP certification will be added advantage
- Strong knowledge of supply chain management
- Working knowledge on the linear/nonlinear optimization
- Ability to structure problems through a data driven decision-making process.
- Excellent project management skills, including time and risk management and project structuring.
- Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
- Ability to liaison effectively with multiple stakeholders and functional disciplines.
- Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.