2+ Probability Jobs in Mumbai | Probability Job openings in Mumbai

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

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)