Cloud Application Architect

Wissen Technology is now hiring for Java Developer with hands on experience in Core Java, multithreading, algorithms, data structure and SQL skills .

Required Skills:

• Experience - 5 to 10 years.
• Experience in Core Java 5.0 and above, CXF, Spring.
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database.
• Good knowledge of multi-threading and high-volume server-side development.
• Experience in sales and trading platforms in investment banking/capital markets.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills in Java.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Job Title: Customer Relationship Manager

Job Summary: We are seeking an experienced and customer-focused individual to join our team as a Customer Relationship Manager. The ideal candidate will have 2 to 6 years of experience in customer relationship management, with a proven track record of building and maintaining strong client relationships. The CRM will be responsible for ensuring customer satisfaction, resolving issues, and identifying opportunities to enhance the customer experience.

Responsibilities:

1. Serve as the primary point of contact for assigned clients, maintaining regular communication to understand their needs and concerns.
2. Build and nurture long-term relationships with clients through proactive engagement and personalized support.
3. Act as a liaison between clients and internal teams, ensuring timely resolution of customer inquiries, requests, and escalations.
4. Collaborate with sales and marketing teams to identify opportunities for upselling, cross-selling, and new business development.
5. Conduct regular account reviews with clients to assess satisfaction levels, gather feedback, and identify areas for improvement.
6. Analyze customer data and trends to identify patterns and anticipate future needs, proactively addressing potential issues.
7. Develop and implement customer retention strategies to minimize churn and maximize lifetime value.
8. Monitor key performance indicators (KPIs) related to customer satisfaction, retention, and loyalty, reporting findings to management.
9. Stay updated on industry trends, best practices, and emerging technologies in customer relationship management.
10. Utilize CRM software to maintain accurate customer records, track interactions, and manage workflows effectively.

Requirements:

1. Bachelor's degree in Business Administration, Marketing, or related field; or equivalent work experience.
2. Proven experience in customer relationship management, with 2 to 6 years of relevant experience.
3. Excellent interpersonal and communication skills, with the ability to interact effectively with clients at all levels.
4. Strong problem-solving and conflict resolution abilities, with a focus on delivering positive outcomes for customers.
5. Ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
6. Results-oriented mindset with a commitment to achieving customer satisfaction and retention goals.
7. Proficiency in CRM software (e.g., Salesforce, HubSpot, Zoho CRM) and Microsoft Office Suite.
8. Strong analytical skills, with the ability to interpret data and derive actionable insights.
9. Flexibility to adapt to changing priorities and business needs.
10. A proactive and self-motivated approach to work, with a passion for delivering exceptional customer service.

The Above Mentioned budget is for 

Experience with QE for distributed, highly scalable systems • Good understanding of OOPS concepts and strong programming skills in Java, Groovy or JavaScript • Hands on experience of working with at least one of GUI based test automation tools for desktop and/or mobile automation. Experience on multiple tools will be added advantage • Proficient in writing SQL queries • Familiarity with process of test automation tool selection & test approach • Experience in designing and development of automation framework and creation of scripts using best industry practices such as Page object model • Integrate test suites into the test management system and custom test harness • Familiar with implementation of design patterns, modularization, and user libraries for framework creation • Can mentor team as well as has short learning curve for new technology • Understands all aspects of Quality Engineering • Understanding of SOAP and REST principles • Thorough understanding of microservices architecture • In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS • Hands-on experience working with Postman or similar tool • Hands-on experience in parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar • Hands-on experience in performing Request and Response Schema validation, Response codes and exceptions • Good Understanding of BDD, TDD methodologies and tools like Cucumber, TestNG, Junit or similar. • Experience in defining API E2E testing strategy, designing and development of API automation framework • Working experience on build tools Maven / Gradle, Git etc. • Experience in creating test pipeline – CI/CD

• 5+ years experience with Hyland OnBase (Content Management)
• Have knowledge on OnBase workflows
• Knowledge on Document Intake Process, Indexing etc., on OnBase
• Experience writing custom scripts to intervene on the OnBase workflows using DotNet

Process Skills:

• Hands-on in Agile Scrum methodology.
• Contribute to all phases of the development life cycle including writing well designed, testable, efficient code.

Behavioral Skills:

• Comfort with ambiguity and ability to navigate uncertainty.
• Must be capable of working independently and collaboratively.

• 3-6 years of relevant work experience in a Data Engineering role.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
• Premium Institute Candidates only

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company