Data Science
Python
Machine Learning (ML)We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has world class investors and big data experts as part of the GP, top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.
Requirements:
- Atleast 3 years of relevant ML experience
- Graduation date : 2018 and earlier
- 3-5 years of experience in high level Python programming.
- Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
- Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques.
- Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
- Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
- Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling.
- Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
- A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
- A valid Github profile with some activity in it
Bonus to have:
- Experience in storing and retrieving data from large and complex time series databases
- Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
- Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation.
- Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.)
- Knowledge of REST APIs and data extracting and cleaning techniques
- Good to have experience in Pyspark or any other big data programming/parallel computing
- Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
- Any progress towards CFA or FRM is a bonus
- Average tenure of atleast 1.5 years in a company
Shubham Vishwakarma
Full Stack Developer - Averlon
About GitHub
About
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
Company social profiles
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JOB DETAILS:
- Job Title: Performance Marketing Manager
- Industry: Ride-hailing
- Experience: 3.5-5 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Performance Marketing Campaigns, Cross functional collaboration, User Engagement, App Marketing, ROI Optimization, User Acquisition, Paid Media Strategy
Criteria:
1. Candidate must have 3.5 to 5 years of experience in performance marketing.
2. Candidate should have strong exposure to App Marketing in a product-based company or agency.
3. Candidate must have hands-on experience in planning, executing, and optimizing performance marketing campaigns to drive ROI and target achievement.
4. Candidate must have proven ability to scale consumer acquisition through innovative strategies and new digital channels.
5. Candidate must stay updated with digital marketing trends and technologies and apply them to improve performance.
6. Immediate joiners or candidates available within 30 days preferred, with strong cross-functional collaboration skills.
7. Candidate should be from scalable app-based startup companies only
Description
Job Summary – Manager - Performance Marketing
As a manager – Performance Marketing, you will be RESPONSIBLE FOR managing and executing performance marketing campaigns focused on new user acquisition for company using digital marketing platforms.
This role is CRITICAL in driving company’s growth by leading all paid digital marketing initiatives, ensuring customer growth while optimizing cost of user acquisition (CAC).
If you have experience in Performance Marketing and a strong interest in App Performance Marketing, we would love to meet you.
Job Responsibilities
The candidate will be REQUIRED TO:
- Plan and execute performance marketing strategies across multiple touchpoints
- Improve media and product performance funnels
- Optimize all channels to deliver the BEST ROI while ensuring targets are met
- Report periodically to management on campaign performance
- Analyze campaign data and consumer behaviour and implement learnings
- Develop and execute new and innovative consumer acquisition strategies
- Continuously experiment and run A/B tests on campaigns, messaging, and targeting
- Collaborate with key stakeholders to plan and execute campaigns
- Provide clear, actionable insights to business stakeholders
- Identify new digital marketing trends and technologies and ensure brand leadership
- Drive end-to-end cross-functional projects with internal teams
- Identify high-impact user experiences and implement strategies to improve them
Job Requirements
- MUST HAVE 4 to 7 years of relevant experience
- MUST HAVE a strong background in App Performance Marketing
- MUST HAVE experience with a product company or agency
What’s There for You
At company, we don’t just run campaigns — we craft data-driven consumer-led marketing strategies. With a presence in 100+ cities, this role offers deep exposure to understanding consumer behaviour, preferences, and decision-making.
We focus on the “Why” behind the “What”, ensuring long-term impact through strong consumer marketing strategies. If this approach aligns with your passion, we would love to meet you.
Machine Learning (ML)Data Science
Deep LearningPythonSkills: Machine Learning,Deep Learning,Artificial Intelligence,python.
Location:Chennai
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
· To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies
· Design and develop AI//ML models to be deployed across SG factories
· Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
· Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
· Prior experience in developing AI and ML models is required
· Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
· Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
· Multitasking, good communication necessary
· Entrepreneurial attitude.
With millions of transactions each month, Animall is one of the world’s fastest growing Agri-tech companies. We continue to re-imagine and re-create the dairy ecosystem in India, and each team member will have significant ownership of the key components that go into this mission! Till now, Animall has primarily focused on building a peer-to-peer cattle trading platform and the journey of Animall has been very encouraging and promising - we have reached more than 7 million dairy farmers within a short span of 2 years. More than 300,000 cattle have been sold through Animall which amounts to 3000 Crore Rs of GTV and is now at a monthly run rate of 320 Crore Rs GTV. Our dairy farmers
have rated us 4.6 out of 5 and 60% of our dairy farmers refer Animall to at least one friend every month.
What you will do
The cluster manager will be a mini-CEO/owner of his allocated cluster. He will be handling operations & sales of all the farms in his cluster with his team of farm managers & BDEs.
Your role will be a part of Hyperlocal farm team where we tend to solve for the best quality cattle. You will be responsible for top-line growth of your respective cluster (5-6 districts) leading a team of 7-8 farms i.e., a team of 150-200. You will be looking after your cluster’s sales and operations ensuring the right PnL for the farms with the aggression of a sales leader while thinking strategically to achieve diverse goals and tremendous growth. As a Cluster Head you will be accountable for demand
generation activities by carrying out farmer level direct and targeted connects in 4-300 villages under each cattle farm. These cattle farms are located in tier II and tier III cities while catering to a catchment area of 4-300 villages per cattle farm.
Roles & Responsibilities:
You will be responsible to run on ground operations of 3 -4 farms within
his/her territory and for handling a monthly revenue to the tune of 2-3 Cr.
Build and nurture a team of 100+ people consisting of on ground sales
executives and their team leaders in the territory
Handling end to end business operations at state level which would require extensive travel to the farms across state
Creating a strategic road map and execution plan of the farm operations across the cluster
Ensuring that the monthly, quarterly and yearly business targets are achieved as per annual operating plan
Handling escalations/concerns raised at various levels within organisation or from other stakeholders
Recruiting and mentoring on the ground staff both on-roll as well as off-roll basis the hiring requirement of the farm
Working closely with internal as well as external stakeholders and also
responsible for preparation and reporting of daily operation report for the
category leaders
ROLES
We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly.
Job Location: Work from home
Selection process: HR Round followed by group discussion and sales manager round.
Qualification: Any Graduate/Post Graduate
Salary offered: As per industry standards
Working days: 6 days Sunday is off
Shifts:10:00am -7:00pm
Mandatory language: English
Laptop/wi-fi: candidates are to use their own laptops,
Additional Compensation: If applicable, this will be decided on the basis of your designation.
Key responsibilities:
1. Creating an inspiring team environment with an open communication culture
2. Setting clear team goals
3. Oversee day-to-day operation
4. Monitor team performance and report
5. Motivate team members
6. Generate sales through customer referrals
7. Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project
8. Conduct sales review meetings with the sales team on a periodic basis
9. To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company
10) Handling a team of 15-20 members.
Must have worked on scability and solving complex product problem. Need people from startup, tech enabled or internet industry background
Built and designed strategies for scalable products, and led projects across growth and P&L. Should have worked on multiple aspect of the product.
Good to have track and tracce, map,gps product background.
Python
Javascript
MongoDB
PostgreSQLCompany
Egregore Labs (http://www.egregorelabs.com/" target="_blank">www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced fullstack engineer with front-end development experience to join our team.
We will share our workload as a team and we expect you to work on a broad range of tasks.
Here’s are some of the things you might have to do on any given day:
- Implement responsive and performant UIs with user centered approach with frontend technologies including Angular 2, Javascript(ES 6), Typescript, SCSS, etc
- Build back-end REST APIs on Python 3 based server frameworks for deployment and scaling of our product(s)
- Write meaningful test cases for frontend & backend platforms
- Integrate our products with 3rd party products/tools/services
- Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc
Ideal Background / Experience
- At least 24 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
- Expertise in programming using Python/Javascript or similar scripting languages
- In-depth exposure to technologies used in web-based SaaS products, including REST APIs
- Sound understanding of Postgres and NoSQL databases such as MongoDB
Nice to have exposure to any of
- AWS
- Azure
- ELK
- Object Relational Models (SQLAlchemy, etc)
- Google APIs
- Microservices Architecture Pattern
- NodeJS / ExpressJS
Desirables
We are looking for a person who has
Resourcefulness - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
Ownership - We like to be directive and not prescriptive in our management. We’d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
Work Ethic - We’ve grown up on Wall Street. We work hard, and have aggressive goals. We want our team-mates to be focused, goal-oriented and consistent high achievers.
Execution Focus - Our business is about getting things done, and getting things done right. We want outcome focused colleagues who can multi-task, and execute quickly and elegantly.
What else you need to know
We are an early stage company. Working here is not for the faint-hearted. An intense and unstructured work environment, lots of excitement and a group of motivated colleagues is what we bring to the table. We ask you to bring your undivided attention, strong worth ethic & resourcefulness. We are Delhi based and work 6 days a week. We operate in a Python environment.
Ruby on Rails (ROR)
RubyJavascript
AngularJS (1.x)PostgreSQL- Should be able to analyse requirements, design solutions, write code, debug code and modify existing software enhancements or develop new product software.
- Should be able mentor junior developers to perform their tasks more effectively and efficiently.
- Should be able to perform executions against project plans and meet delivery commitments.
- Should have good experience in source control, unit testing, code verification, documentation, automated build, continuous integration, metrics, and code reviews.
- May interact with product specialists / Project Managers / Product Owners to define system requirements and/or necessary modifications and to give status feedback.
- Should be able to work in an Agile Development Environment using SCRUM methodology.
- Should be able to communicate with other teams and stakeholders to achieve the given goal.
- Should be able to participate in the hiring processes.
Python
Amazon Web Services (AWS)Intro
Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.
What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.
• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.
- Create and maintain optimal data pipeline architecture and ETL processes
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Develop data pipeline and infrastructure to support real-time decisions
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale
- Proficiency in writing and debugging complex SQLs
- Experience working with AWS big data tools
• Ability to lead the project and implement best data practises and technology
Data Pipelining
- Strong command in building & optimizing data pipelines, architectures and data sets
- Strong command on relational SQL & noSQL databases including Postgres
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Big Data: Strong experience in big data tools & applications
- Tools: Hadoop, Spark, HDFS etc
- AWS cloud services: EC2, EMR, RDS, Redshift
- Stream-processing systems: Storm, Spark-Streaming, Flink etc.
- Message queuing: RabbitMQ, Spark etc
Software Development & Debugging
- Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
- Strong hold on data structures & algorithms
What would be a bonus
- Prior experience working in a fast-growth Startup
- Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon