Sr. Product Manager - Factory Acquisition

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Requirements:

• Bachelor’s degree in computer science, computer engineering or similar.
• Previous work experience as an AngularJS developer.
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Experience using JavaScript building tools like Gulp or Grunt.
• Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
• Technical lead skills. Can handle a team or independent technical delivery
• Proven experience implementing front-end and back-end JavaScript applications.
• Excellent communication skills.
• Critical thinker and good problem-solver.

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

As Conviva is expanding, we are building products providing deep insights into end user experience for our customers.

Platform and TLB Team

The vision for the TLB team is to build data processing software that works on terabytes of streaming data in real time. Engineer the next-gen Spark-like system for in-memory computation of large time-series dataset’s – both Spark-like backend infra and library based programming model. Build horizontally and vertically scalable system that analyses trillions of events per day within sub second latencies. Utilize the latest and greatest of big data technologies to build solutions for use-cases across multiple verticals. Lead technology innovation and advancement that will have big business impact for years to come. Be part of a worldwide team building software using the latest technologies and the best of software development tools and processes.

What You’ll Do

This is an individual contributor position. Expectations will be on the below lines:

• Design, build and maintain the stream processing, and time-series analysis system which is at the heart of Conviva's products
• Responsible for the architecture of the Conviva platform
• Build features, enhancements, new services, and bug fixing in Scala and Java on a Jenkins-based pipeline to be deployed as Docker containers on Kubernetes
• Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements etc.
• Lead a team to develop a feature or parts of the product
• Adhere to the Agile model of software development to plan, estimate, and ship per business priority

What you need to succeed

• 9+ years of work experience in software development of data processing products.
• Engineering degree in software or equivalent from a premier institute.
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
• Excellent programming and debugging skills on the JVM. Proficient in writing code in Scala/Java/Rust/Haskell/Erlang that is reliable, maintainable, secure, and performant
• Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc.
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning, etc.
• Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their businesses ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision, and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

What you need to have:

• 8+ Bachelor’s degree in Computer Science or equivalent combination of technical education and work experience;
• 7+ years of Software Development experience and at least 1+ years of experience in building and leading strong engineering teams
• Deep hands-on technical expertise on server side technologies.
• Solid software development background including design patterns, data structures, test driven development, experience in building microservices and highly scalable and performant applications.
• Excellent verbal and written communication skills, and effective stakeholder management, in cross functional teams.
• Managed a team of 5+ engineers, taking care of the delivery planning, resource alignments, prioritization, performance management(including managing appraisal cycles), and effective feedback for the team and individuals.
  
  

• Masters in Economics or Public Policy is a must
• Excellent communication skills and exceptional attention to details
• Ability to gather relevant data from various sources
• Strong problem-solving skills
• Strong quantitative and qualitative analysis skills