5+ Predictive analytics Jobs in Bangalore (Bengaluru) | Predictive analytics Job openings in Bangalore (Bengaluru)
Apply to 5+ Predictive analytics Jobs in Bangalore (Bengaluru) on CutShort.io. Explore the latest Predictive analytics Job opportunities across top companies like Google, Amazon & Adobe.
CC++What You'll Do
● Develop embedded system architecture that is efficient and scalable
● Develop multi-device system design, envision customer interaction, and corner cases to build issue-free design
● Develop firmware code for Interrupt driven system which interacts with Android and cloud
● Implement function safety, protection and security in the embedded system
● Implement predictive hardware failure features
Who You Are?
● Passionate individual who loves to work on embedded systems. a person who likes to drive things actively rather than waiting for tasks to get assigned.
● Strong programming capabilities
● Understanding of electronics and hardware
● Clear thought process, believe in simplifying rather than complicating
● Argue and fight over the opinions. Believe in delivering the best for the users
You Should Have
● 3+ year experience in embedded system design
● Mastery in C/C++ for embedded systems. Strong fundamentals of Microcontrollers and their common peripherals.
● Strong basics of C/C++, memory map, compiler functionality
● Done multiple projects during graduation/post-graduation. Participated and performed in tech competitions.
● Experience working with actuators like motors (DC/brushless), LED/LCD and HMI interfaces, speakers, sensors etc
● Experience working with motor control algorithms and PID controllers
- Proficiency with Linux OS and basic bash scripting
The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.
Key Expectations
- Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
- Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
- Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
- Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
- Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
- Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
- Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
- Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
- Partner with Engineering team to implement policies and scorecards.
- Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.
Competencies -
- Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
- Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
- Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
- Outstanding communication skills, both verbal and written
Data Science
PythonExperience in Pricing models will be definite plus
Data Science
R ProgrammingPython
MongoDB- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
- Collaborating with data engineers & architects to implement and deploy scalable solutions
- Communicating results to diverse audiences with effective writing and visualizations
- Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
What you need to have:
- 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
- Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
- Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
- Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
- Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
- Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
- DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
Data AnalyticsData SciencePython
Follow Cutshort