About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.
About Us:Paysense is Nexus and Jungle funded start-up focussed on improving the financial lives of the Indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 Mn net-worth), we are reinventing credit and access to it for the next billion Indian consumers. Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We took this as an opportunity to build out large scale credit system from scratch. Our team comprises of engineers, data scientists and product leaders from Stanford, IIT and UCLA; we are looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we’d love to have a chat.About the job:BI is a cross functional team that collaborates with Product, Engineering, Operations, and Marketing to drive decision-making at PaySense.You will lead the Business Intelligence team, which is responsible for core business logic, KPIs, and the interfaces through which the rest of the company accesses data. As the gatekeeper of data, you’ll be enabling our rapidly growing company to make better decisions, and play a meaningful role in driving overall growth.Responsibilities• Recruit, lead, and lead an elite team of business intelligence analysts and managers• Work closely with functional teams across the company to understand their data needs and develop solutions that allow them to make data-informed decisions • Drive the BI team to produce analyses and compelling data visualizations that directly impact the business• Collaborate with engineering and product to incorporate business intelligence concerns into the product development process• Set goals and drive the overall roadmap for the BI teamAbout you:• 5+ years experience in business intelligence, analytics, or related area• Degree in Statistics, Data Science, Engineering from Tier-1 institutes• Strong understanding of statistical data analytics• Strong understanding of database design and ETL processes.• Expert at SQL and one or more data analysis languages (Python/R)• Previous experience in building and leading business intelligence teams
Ketto is an online crowdfunding space where social causes, NGOs, creative projects and entrepreneurial ventures in India are supported. With a Supporter base of 5 Million, Ketto has raised over INR 300 Cr for about 1.5 Lakhs fundraisers. We are Asia's most trusted and visited crowdfunding platform that helps you raise funds for personal needs, charitable causes and creative ideas. Ketto uses social media to mobilize the youth, effecting change and fueling creative ideas. It makes online giving and fundraising easy and safe. With its strong celebrity support, Ketto aims to connect individuals and brands with fundraisers, increasing awareness for various causes - social, personal, creative and entrepreneurial. Ketto aims to be the premier crowdfunding platform that empowers the crowd to fund and raise funds for their favorite causes, creative projects and entrepreneurial ideas using social media and e-commerce. Through crowdfunding, we're constantly trying to bring about a positive change in the world, one fundraiser at a time. If you're the kind of person who loves playing with the numbers and likes to make a difference with your work, join in! Here's all that you need to know about this profile: You would be Responsible for: 1. Commander for all the Analytics problems at Ketto. 2. Building predictive models to solve various business problems. 3. Lots of data crunching, analyzing and presenting the data to the Senior Management. 4. Prepare various Data/Statistical Models and optimization for the same. 5. Maintaining consistency with data for the Product, Marketing, and Business Development teams. What we would want : 1. Advanced understanding of SQL, R, and machine learning concepts 2. 1-3 years experience as an analyst or a data scientist. 3. Passionate about translating data and trends into meaningful insights 4. Experience with data visualization software like Tableau, looker, PowerBI etc. 5. A good understanding of Statistics and Machine learning concepts. What you would get : 1. A high-end exposure to Product, Marketing, and Business Development teams. 2. An agile environment and a startup culture and chance to work with some of the coolest professionals of the industry. If the above-mentioned responsibilities excite you and if you want to be a key to tomorrow, then we would we excited to meet you.
Helping team to source good start ups that are looking to raise funds. Preliminary basic understanding and evaluation of the business start ups. Co-coordinating and scheduling communication slots with founders of startups Following up for information sought from start ups. Maintaining records of the startups being evaluated selected and rejected. Work in sync with the analyst’s team and provide them with back office support. Any other tasks that may come up and needed to be done by the team from time to time.
Fynd is India’s largest offline to online fashion platform. Fynd works with 300+ brands across 9000+ stores in 40+ cities to aggregate store inventory in real time. Across Fynd’s own direct to consumer channel, instore omnichannel and api consumption channels, Fynd distributes this inventory feed to drive transactions and manage fulfilment. As Product Manager, you will be part of a team that builds data products from existing ideas, and help to develop new ideas based on market trends & feedback. You must possess a unique blend of business and technical savvy; a big-picture vision, and the drive to make that vision a reality. You must enjoy spending time in the market to understand their problems, and find innovative solutions for the broader market. You must be able to communicate with all areas of the company. You will work with product development to define product requirements. You will define the go-to-market strategy, product positioning, key benefits, and target customer. We're looking for someone who has a monetization-focused product manager background that can shape the future of our paid products. You’ll become the voice of our revenue-generating products by focusing on synthesizing external research, internal analytics, and cross-functional team feedback into a long-term product vision and near-term execution plan. Responsibilities - Ideate, plan, prioritise, and clearly define product requirements - Manage product features working closely with developers, designers and other relevant teams - Ensure all product integration, enhancements and changes are launched as per defined scope - Take appropriate actions to improve product and product line efficiencies and performance (revenue, retention & growth, customer satisfaction) - Track progress of market specific product improvements and measure impact - Define and drive key drivers of growth and optimize conversion, expansion and retention - Complete P&L ownership of the product - Define KPI metrics, and measure success of all releases - Have a deep understanding of the end user - Lead and collaborate on all business readiness activities including product testing, end user education, rollout, iteration and support - Be the product evangelist, represent the product in online communities, conferences, interact with experts, demonstrate the product at peer events and other activities that aim to educate customers about the technical benefits of the product Requirements - Bachelors degree in a technical discipline (Computer Science, Technology, Engineering, Math) or equivalent experience - 3+ years experience building, delivering, and supporting data tools, services, and/or products - Technical experience with analytical tools, methodologies and design - 3+ years of experience with SQL and/or NoSQL, BI systems, which could have been gained as part of the experience building, delivering and supporting data services, tools and products, or in addition to that experience - Strong analytical and quantitative skills; ability to use hard data and metrics to back up assumptions, recommendations, and drive actions. - Experience with growth platforms (Segment, Google Analytics etc.) to drive Growth - Solid understanding of subscription products and self-service funnels - Self-driven, comfortable with a fast-paced, always-on, highly ambiguous environment - Strong verbal and written communication skills in English with demonstrated experience engaging and influencing senior executives
Responsibilities: Build client related databases by identifying relevant sources and methods of extracting data Maintain databases by constantly updating them based on new findings and progress on client update Assign clients to the Business Team in tandem with strategy set for acquiring clients and tracking progress Report to Operations Team on progress and key pain points along with recommendations for improving the internal BD process Manage data for new and prospective clients, ensuring all communications are logged, information is accurate and documents are attached Required experience and knowledge Highly proficient with MS Excel and MS Word Susceptible to change and ability to grasp new platforms Knowledge of Airtable & Podio would be an added bonus High proficiency in speaking and writing in English. Hindi and Marathi would be an added bonus Analytical and meticulous mindset towards the objective would be an added bonus