Kaleidofin Career

The Risk team is responsible for overall risk framework and strategy for the organization. The team develops various risk models, arrives at various sector reports from a risk perspective and provides in depth analysis and recommendation around risk profiles of various clients.

In this role, the person is responsible for playing a leadership role in the Risk function to identify, assess, monitor and make timely and measured judgments on all current and potential future risks faced, in order to protect the organization’s interest, assets and reputation of the group along with growing shareholder value and profitability.

Responsibilities

• Manage risk for the retail and wholesale portfolio. Should have managed organization level Risk Policies, Credit Underwriting and Collection functions.
• Manage risk framework for the organization - including updating, establishing new risk management mechanisms, to identify, assess, monitor, measure and control a broad spectrum of risks. Ensure all policies and frameworks are kept updated and deployed to the optimum level.
• Develop continuous monitoring and improvement of the quality of the organization's credit and lending portfolio through credit policy direction and implementation.
• Possess a complete understanding the business. Evaluate, improve, and monitor the business, including assisting in reporting to the Board and Board Committees and providing leadership in the effectiveness of credit risk management controls, systems, and processes across the organization.
• Lead and mentor a team of analysts.

• Possess 7+ years of relevant experience in financial services industry in a risk role.
• Exposure to both wholesale and retail risk in a banking environment will be preferred. Some experience in a business / sales role within the banking / NBFC space will be an added advantage.
• Should have held a position of authority in terms of allocation and appropriating limits.
• Sector understanding in financial institution space and good knowledge of interpreting financial trends.
• High proficiency in Python and SQL/NoSQL.
• Experience with big data and cloud computing e.g., PySpark, data lake is a plus.
• Outstanding written, verbal and interpersonal communication skills.
• Ability to speak at various levels of an organization (CXOs to analysts).
• Have demonstrated resilience – stayed with companies and taking businesses to scale, have preferably not ‘hopped jobs. Strong organizational skills and excellent follow-through.
• Present / articulate / position an idea compellingly and ability to work in a fast-paced dynamic environment.
• Excellent communication and presentation skills.
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work.
• Learns continuously; Seeks out knowledge, ideas and feedback.

We are seeking extremely smart Android developers who are passionate about pushing mobile technologies to the limits.

• Design and develop products by working closely with business teams.
• Design super intuitive experiences in the next generation of our mobile applications.
• Build performant, scalable, yet secure, enterprise-ready android applications with architecture that is fast yet lean on the backend servers enabling them to support millions of users in parallel.
• Build enterprise-ready back end architectures that can support millions of users in parallel.
• Gain experience with hands-on coding and independent ownership of software components.
• Follow strong engineering best practices and champion their adoption.

• 2+ years’ experience in android software development and delivery.
• Bachelor’s or Master’s degree in engineering from a reputed institute(preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities.
• All experience should be from good product development or e-commerce background.
• Must have shown good stability in all your previous associations.
• Knowledge of UI architectural patterns like MVVM(preferable), MVC, MVP, data binding, activity & fragment lifecycle, recycler view, navigation component, layouts (constraint layout preferable), theming etc.
• Should have actively used retrofit, work managers, android jetpack, Rx java, dagger, retrofit, android sdk, GIT/bitbucket, gradle/ant and very keen on exploring other proven tech stacks.
• Comfortable with test-driven development in android with UI testing, instrumented unit testing and unit testing using junits, mockito or other tools.
• Willingness to learn and write simple backend REST API’s (preferably in Java, spring boot & hibernate) without having to completely depend on backend engineers for delivery.
• Has worked in a fast-paced agile organization building stateless and re-entrant/resumable android applications.

• Be responsible for engineering road map, architecture and scalability/quality of products.
• Effectively collaborate with Product managers, Business teams to develop long-term product roadmap and own release planning - in a fast-paced, evolving environment.
• Perform well in ambiguous situations. We are a startup with a significant product suite.
• Mentor and guide a team of engineers across various levels and areas of expertise. Help engineers make good architectural decisions, improve code quality and delivery.
• Be responsible for tech solutioning, architecture being deployed maintaining right balance b/w short term and long term outcomes – speed vs quality.
• Establish strong engineering best practices and champion their adoption.
• Define career trajectory for your team and share feedback regularly to help them grow.

• 7+ years of experience in end to end cloud software development with exposure in building scalable, fault tolerant and secure large scale distributed systems. At least 1-2 years managing eng. teams.
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Deep expertise in Java & tech stack (Springboot) & micro service based architecture writing maintainable, scalable, unit-tested code. This position requires a good mix of hands-on and people management.
• Hands-on experience in low-level and high-level design with the ability to propose and validate system design.
• You are comfortable jamming on code refactoring, architecture and design principles.
• Sound understanding of web technologies (JS, HTML5 CSS), databases - SQL & NoSQL (e.g. Cassandra), distributed caches (e.g. Redis), message queues (e.g. Kafka).
• Knowledge of UI architectural patterns like MVVM, MVC, MVP etc is useful.
• Exposure to android app development is a good plus.
• You have working knowledge of CI/CD pipelines and infrastructure tools such as Docker, Kubernetes, Gradle, GIT, Jenkins, ELK, Prometheus, Grafana or equivalents.
• You are an opensource enthusiast with the curiosity to stay abreast of latest tech.
• Must be comfortable working in fast paced agile environments. Ability to plan, prioritise, estimate and execute releases with strong degree of predictability.
• Excellent people & communication skills.
• Experience with AWS stack is preferred.
• Experience with a high-growth startup is a plus.

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

We are seeking extremely smart programmers who are gung ho about building large scale systems that are going to have a big impact on millions of customers.

Responsibilities:

• Design and develop products by working closely with business team.
• Gain experience with hands on coding and independent ownership of software components.
• Build performant, scalable, enterprise ready back end architectures that can support millions of users in parallel.
• Follow strong engineering best practices and champion their adoption.

Requirements:

• 2+ years’ experience in software product development and delivery.
• Bachelors or Masters degree in engineering from a reputed institute(preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem solving abilities.
• All experience should be from good product development or e-commerce background.
• Must have shown good stability in all your previous associations.
• Have strong backend knowledge and cloud development exposure.
• Expert at Java, Spring boot, Hibernate, REST API development.
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus.
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place.
• Writing high quality code which is made better by unit tests and integration tests is how you work.
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few.
• Knowledge of test driven development and AWS tech stack will be a good plus.

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:

Responsibilities:

• Lead design and development of products working closely with business team.
• Independently own software components and co-own entire applications with a small group of fellow developers.
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance.
• Build performant, scalable, yet secure, enterprise ready back end architectures that can support millions of users in parallel.
• Establish strong engineering best practices and champion their adoption.

Requirements:

• 4+ years' experience in software product development and delivery.
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities.
• All experience should be from good product development or e-commerce background.
• Able to take ownership of working with at least one of mobile or web app teams for complete integration with backend.
• Must have shown good stability in all your previous associations.
• Have strong backend knowledge and cloud development exposure.
• Proficiency in Java, Spring boot, Hibernate, REST API development.
• Worked with at least 1 RDBMS (Mysql preferred).
• NoSql is a plus.
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place.
• Writing high quality code which is made better by unit tests and integration tests is how you work.
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few.
• Knowledge of test driven development and AWS tech stack will be a good plus.

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred