Graphic & Textile Designer

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience (7+ years) in leading analytics teams in the credit card industry
• Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
• Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
• Experience with analytics tools such as SAS, SPSS, or Tableau
• Excellent leadership and team management skills, with a track record of building and developing high-performing teams
• Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
• Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

For more Opportunities Visit: Qrata Opportunities.

Key skills: java ,selenium,BDD,API testing,Rest assured.
Mandatory Skills:

·         Hands-on knowledge of Maven

·         Appium hands-on

·         Jenkins hands-on

·         Hands-on knowledge of API testing techniques and usage of API tools SOAP UI/JMeter (REST /SOAP)

·         Rest api automation using rest assured

·         Usage of Postman or JMeter tool to modify requests to validate multiple outputs on scenarios.

·         Analyze results of tests and to be able to update existing test suits after API changes

·         Basic Knowledge about CI/CD Concepts

·         Exposure to UI Automation, Selenium, JAVA Rest Assured, TestNG

·         Experience using at least one defect management tool – JIRA, HP ALM, ADO etc.

Nice to have skills:

·         ISTQB foundation certification would be a plus.

• Hands-on embedded C skills (mandatory)
• Experience with any microcontrollers MCU (mandatory) – Renesas/ Infineon/ Cypress/ ST-Micro /TI / Microchip
• Experience with any of peripherals & communication protocols usage in application development (mandatory) – UART, I2C, SPI, I2S, CAN, USB, ADC, DAC, EEPROM, Flash memory
• Experience with any RTOS – FreeRTOS, Azure RTOS, ThreadX
• Experience with any networking &  connectivity modules (preferred & added advantage) – Ethernet, WiFi, BLE, MQTT, COAP

Responsible for test case specification, automation and data generation for the various products.

- Develop test automation framework components and test cases using best object oriented programming practices

- Design and implement functional, performance, scalability, stability, and stress tests- Analyze results, identify functional and performance issues and write clear and detailed bug reports

- Work in an agile, rapid development and prototyping environment where effective communication is paramount

Desired Skills and Experience :

- 2-5 years of experience in writing test automation cases

- Knowledge of manual as well as automation testing

- Experience in front-end web application test automation (e.g. Selenium Web-driver)

- Experience in industry best practices in SW development processes: Unit testing, OO design, code reviews etc.

- Experience with either functional or performance testing and analysis

- Experience testing complex REST APIs

- Strong programming and SW design skills in Scala, Java, C# or other OO language
- Ability to effectively articulate technical challenges and solutions

- Excellent communication, collaboration, reporting, analytical and problem solving skills

Role and Responsibilities

A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.

• Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
• Management of Quantitative Trading Programs.
• Data Analysis

Requirements

Education (Candidate should satisfy one of the following)

• B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
• Tech with good grades and strong quantitative aptitude
• CFA/FRM Level 1 cleared
• Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)  

Skills

• Exceptional Quantitative Aptitude
• Psychological composure and Logical/Objective decision making
• Comfortable working on computer programs

Preferences

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

• Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
• MATLAB/R for Time series analysis
• Knowledge of AFL ( Amibroker Formula Language)

Advantages

• Steep learning curve
• Extensive training on mathematics of derivatives market
• Dynamic work environment(Everyday is different in its own way)
• Very small team and merit based growth
• Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)

Pay Structure

• Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
• Pay Structure post the training period:

Junior Trader:

Base Salary I + 5% of Revenue share

       Senior Trader:

(Base Salary I + 27% hike) + 10% of Revenue Share

Working Hours

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks

• Standard Market Hours
• Training Pre and Post market hours
• Our doors are open till the time you are working

Selection Process

• Quantitative Aptitude Test 
• Psychometric Test
• Personal Interview
• Super Day (Hands on work on high paced advance programs)