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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.
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- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena
To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.
Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data ScienceWe 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
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InMobi is a leading global consumer technology and advertising company redefining how businesses connect with mobile-first consumers and how people discover content, commerce, and experiences on their devices. Originally launched as a mobile search service, InMobi has since evolved into one of the world’s most advanced ad-tech platforms, combining cutting-edge AI, programmatic technology, and consumer insights to help brands, advertisers, and publishers grow and engage audiences at scale.
✨ Our most popular consumer brands are -
Glance - A consumer technology company and an unconsolidated subsidiary of InMobi Group. It operates an AI-driven lock-screen content and commerce platform that delivers personalized experiences, entertainment, news, and commerce directly to users’ lock screens. Glance also includes properties such as Roposo and Nostra under its umbrella. It was founded in 2019 and is backed by investors including Google, Jio Platforms, and Mithril Capital while being owned by InMobi.
1Weather - A weather forecasting app used globally that has been incorporated into InMobi’s offerings through strategic partnerships (notably delivering weather alerts via Glance lock screens in collaboration with the India Meteorological Department). The app is leveraged by InMobi’s ecosystem to power weather updates and real-time alerts, integrating with Glance’s lock-screen platform to bring actionable weather insights directly to users,
👥 Founders & Leadership
Founded in 2007 as mKhoj, InMobi was started by Naveen Tewari (Founder & CEO) along with co-founders Mohit Saxena, Amit Gupta, and Abhay Singhal. What began in a Bangalore apartment as an SMS-based service evolved into a global mobile advertising and consumer technology company. Today, InMobi’s leadership team includes seasoned executives driving growth across revenue, product, and technology worldwide.
💰 Funding & Financials
InMobi has raised $215M+ in equity funding since inception, including a landmark $200M Series C led by SoftBank in 2011. More recently, the company secured $100M in debt financing in 2024 and $350M in growth capital in late 2025, with discussions underway for a $400M Series E at an ~$8B valuation.
🏆 Milestones
- 2011: Achieved unicorn status with major investment from SoftBank; launched China operations.
- 2019: Launched Glance — a lock-screen content discovery platform, and acquired social video platform Roposo.
- 2020–22: Expanded product portfolio with AI-enabled solutions like InMobi Pulse, InMobi DSP, InMobi Telco, UnifID, and Meson mediation platform.
- 2024–25: Secured $100M AI-focused financing, explored a potential $400M Series E at ~$8B valuation, and raised $350M in growth funding ahead of IPO preparations.
- 2025: Founders bought back a major SoftBank stake, increasing founder ownership and positioning the company for a future public listing.
🌍 Global Footprint & Impact
With offices across Asia, Europe, and North America, InMobi’s platforms power advertising campaigns that reach over a billion devices globally, serving billions of impressions every month. It has become one of the world’s largest independent mobile ad networks, competing with major players while maintaining deep technology innovation in programmatic and AI-driven marketing
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