Key Skills
Java Programming, Leadership, Python Programming, Database, SQL, Machine learning techniques, Data Visualization, QlikView, Tableau, D3.js, R Programming, Algorithms, ggplot, SAS, SPSS Statistics
Job Description
Actively participates on cross-functional project teams developing analytics enabled solutions for AUDIT ADVANCED ANALYTICS. Owns and manages assigned tasks. Works on problems of limited scope / complexity, following standard practices and procedures. Developing ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders
Responsibilities
- Provides analysis on datasets of moderate complexity
- Communicates results of cases of limited complexity to more senior data scientists and business partners
- Participates in meetings. Works closely with subject matter experts to understand data sources.
- Gains fundamental understanding of the business value chain and customer lifecycle for the projects they are supporting.
- Curious and learns to ask the right kinds of questions of peers and customers to gain knowledge.
- Shares information and provides rationale behind ideas Builds stable working relationships with cross-functional peers, begins to establish a broader internal network.
- Shares ideas with others, participates in brainstorming sessions
- Actively seeks out coaching and incorporates feedback into their work.
- Owns their career development.
How will you create impact?
Recommend, communicate and help in the adoption of advanced analytics across various functions requiring audit and securing best practices and better execution of management and operational policies.
What motivates you?
- You obsess about customers, listen, engage and act for their benefit.
- You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions, focusing on what matters.
- You do what is right, work with integrity and speak up.
- You share your humanity, helping us build a diverse and inclusive work environment for everyone.
What we are looking for
- Individuals willing to explore and make a contribution in the field of AUDIT ADVANCED ANALYTICS using inferential statistics, data science, and business intelligence
- Willing to make a difference in improving good data practices and committed to advancing good data culture.
- Curious, investigative, passionate to learn and share knowledge with others
- Data driven with excellent communication skills
- Able to ask the right kinds of questions of peers and customers to gain knowledge.
- Has limited ability to construct systematic process to implement analytics insights and solutions: 1) designing a process with multiple relevant parties with clear specifications of roles and responsibilities 2) identifying required tasks, system / data flow and contingency 3) specifying check-and-balance throughout the process 4) establishing rigorous tracking and closed-loop learning 5) implement such process in a scalable way
- Minimum Bachelor’s degree in Statistics, Math, Computer Science, Engineering; or equivalent work experience Basic Working knowledge of programming languages and concepts (e.g. SAS, SPSS, R, or Python)
- Familiarity with basic statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)
- Basic understanding of different techniques and knowledge of machine learning algorithms. Basic knowledge of AI toolkits. Basic knowledge of data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.jsBasic knowledge of common database querying languages such as SQL. Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights. Some working knowledge of relational database models (e.g. data vaulting techniques, rules tables).
What can we offer you?
- A competitive salary and benefits packages.
- A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
- A focus on growing your career path with us.
- Flexible work policies and strong work-life balance.
- Professional development and leadership opportunities.
Our commitment to you
- Values-first culture
We lead with our Values every day and bring them to life together.
- Boundless opportunity
We create opportunities to learn and grow at every stage of your career.
- Continuous innovation
We invite you to help redefine the future of financial services.
- Delivering the promise of Diversity, Equity and Inclusion
We foster an inclusive workplace where everyone thrives.
- Championing Corporate Citizenship
We build a business that benefits all stakeholders and has a positive social and environmental impact.
Company Info.
Manulife Financial Corporation
Manulife Financial Corporation is a Canadian multinational insurance company and financial services provider headquartered in Toronto, Ontario. The company operates in Canada and Asia as Manulife and in the United States primarily through its John Hancock Financial division.
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Manulife Financial Corporation is currently hiring Data Scientist Jobs in Quezon City, Metro Manila, Philippines with average base salary of ₱540,000 - ₱900,000 / Year.