Home Loan Experts is the top specialist mortgage company in Australia with rapidly growing offices in Sydney and Kathmandu. Having settled over $2 billion home loans, we are the leading financial service provider in Australia.

We exist to get tough loans approved; that's why our customer service is the best!

HLE Nepal Pvt. Ltd is an extension of Home Loan Experts. Our office in Kathmandu has 251 happy and energetic team working to provide the best customer service and our team of brilliant tech team focuses on building world-class fintech products.

We believe in employee growth and offer amazing career advancement opportunities for our employees.

If you want to be part of this please visit our website https://hlenepal.com.np/

**We regret that only shortlisted candidates will be contacted.**

We exist to get tough loans approved; that's why our customer service is the best!

HLE Nepal Pvt. Ltd is an extension of Home Loan Experts. Our office in …

Data Manager

Views: 1389 | Apply Before: 4 days, 3 hours from now

Basic Job Information

Job Category	:	IT & Telecommunication > Business Analyst, Data Warehousing
Job Level	:	Senior Level
No. of Vacancy/s	:	[ 1 ]
Employment Type	:	Full Time
Job Location	:	Jawalakhel, Lalitpur, Nepal
Offered Salary	:	Negotiable
Apply Before(Deadline)	:	Oct. 28, 2020 23:55 (4 days, 3 hours from now)

Job Specification

Education Level	:	Bachelor
Experience Required	:	More than or equals to 3 years
Professional Skill Required	:	Data Analysis Time Management Multitasking Communication Ms Office

Other Specification

Qualification:

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Experience:

3+ years as Data Analyst/ Data Scientist

Skills:

Extensive background in data mining and statistical analysis
Knowledge of customer journey models and customer segmentation
Experience with analysis problem-solving and interpreting financial, customer, third party data
Advanced data/insights interpretation skills
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Experience in stakeholder analysis
Excellent communication skills, both written and verbal
Superior public presentation skills
Understanding of networks, databases and other technology
Advanced Excel skills
Able to work with minimum supervision
Ability to work under pressure
Driven and a strong desire to learn
Team player

Desirable Skills & Experience:

Advanced experience on R, Python, SQL, Google analytics and Tableau,
Project management

Skills :

Data visualisation
Programming skills

Job Description

The role of the Data Manager at Home Loan Experts (HLE) is to initially serve as a liaison between the marketing team and the broader HLE management team to develop and deliver world-class data customer/industry/opportunity insights that will improve customer profitability, customer targeting, internal processes, staff efficiencies and customer experience.

Primary duties:

Work with HLE business leaders (Senior Digital Marketing Manager, Digital Marketing Manager, CEO, Founder, GM Broking, Tech Team Manager) to understand the business needs for data and translate them into decision-ready user metrics
Map and optimize the customer journey data flow
Identify valuable data sources and automate collection processes
Deliver and implement a data strategy, (including managing/ prioritizing data and business intelligence requests) and converting them into clearly defined projects with well-defined parameters and deliverables
Analyze large amounts of information to discover trends and patterns
Undertake preprocessing of structured and unstructured data
Develop custom data models and algorithms to apply to data sets
Build customer propensity models and machine learning algorithms
Use predictive modelling to increase and optimize customer experiences, revenue generation, marketing targeting and other business outcomes
Build and implement advanced machine learning algorithms
Implement regression models, simulations, scenario analysis, clustering, decision trees, neural networks, etc.to design the optimal data architecture for HLE
Develop processes and tools to monitor and analyze model performance and data accuracy
Research, acquire and apply mortgage industry knowledge to influence product design decisions

Secondary duties:

Document business processes and propose innovative improvements
Develop a clear definition and acceptance criteria for each of the features to ensure the business requirements will be addressed
Ensure team activities are aligned with project objectives and stakeholders expectations
Provide regular updates to key stakeholders
Any other relevant duties as required from time to time

The Benefits of Joining us!

Get to work with one of our top outsourcing partners
A secure long-term role
Paid annual leave and sick leave
Paid maternal and parental leaves
A 5-day work week except for 1 Sunday of the month
An environment that values continuous learning and development
Office-sponsored daily breakfasts and other benefits
Recreation room to unwind and chill!
Parties and events – we want you to have some fun at work!
Accident and health insurance for you and your two family members
Office sponsored 'Employee Assistance Program'

Work Hours: 8:00 am to 4:00 pm, (including 1-hour lunch break)

Note:

The detailed Position description will be discussed during the virtual interview.

Applying Procedure:

Sounds like an opportunity for you? Send us your resume and cover letter to [email protected]homeloanexperts.com.au with the subject line "Career: Data Manager", addressing all the essential requirements.

Visit hlenepal.com.np and homeloanexperts.com.au to know more about us!

Due to the high volume of applications received, we regret that only short-listed candidates will be contacted. Also note that we are working from home currently due to the Covid-19 lockdown, and will continue to do so in the coming months.