Data Analyst Risk Jobs

Collaborating with other departments, such as IT, Customer Services and Risk Management, to develop and implement fraud prevention strategies and policies.

Maintaining accurate records of fraud incidents and investigations and providing regular reports to management.

Ensuring compliance with regulatory requirements related to fraud prevention and reporting.

A minimum of 2 years’ hands-on experience in a fraud investigation role in banking and Data Analytics.

Experience in digital banking and/or financial technology companies will be a significant plus.

Advance knowledge in SQL is a must

Final year or graduated student majoring in Statistics or at least having experiences/projects in data analysis

Should have practical experience in VBA, SQL or other related tools. Prior experience with applied statistics, and experimental design

Perform exploratory data analysis using VBA or other tools.

Present interesting findings of business operations performance to support key business stakeholders to drive business and strategic decisions.

Build self-serve and predictive data products such as dashboards and tables to reduce time to insights

Proven ability to recognize business needs and ability to communicate with multiple stakeholders.

Have knowledge in the field of internal control, procedures, systems, operations, and risk management

Have Certification in Risk Management

Documents model in accordance with Model Risk Management policies and procedures

Works with internal and external parties to have model validated and approved by the Model Risk Management committee

Presents model results to senior management and appropriate committees

Presents findings of validations to senior management

2+ years experience with data analysis experience in e-commerce/fintech company, prefer with credit analysis experience

Logical thinking, proactive, strong communication skills, good at teamwork

Bachelor degree or above which is relate to economic, mathematic, and statistics

Fluent with hive SQL, familiar to use Python, SAS. R. spark, etc for data analyzing

Master statistical methods and tools, and familiar with the methods of statistical testing of models

1-2 years experience with data analysis experience in e-commerce/fintech company, prefer with credit analysis experience.

Logical thinking, proactive, strong communication skills, and a team player.

·Strong written and verbal interpersonal English and Bahasa Communication skills

·Good interpersonal and decision-making skills

Responsible for daily monitoring business system, include entire business process and regularly report the business & risk control situation.

Responsible to collect various types of features in maintaining & optimizing business.

4+ years of Data analytics experience

A champion of research based analysis with proven scientific writing skill

Solid knowledge in SQL and strong in Exploratory Data Analysis

Advanced knowledge in Python or R

Become SME (Subject Matter Expert) in terms of Data & Analytics within business unit/cluster

Analyse data to better understand potential risks, concerns and outcomes of decisions

You must have knowledge and experience of working with SQL at least 2 years

You must have experience in lending business at least 2 years

You must have good communication and adaptive skills, be responsible and discipline in data providing

You will support existing dashboards to track daily collection productivity

You will create new monitoring to oversee new processes and strategy changes

You will participate regular budgeting process and do model for related Collection Cost

Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with various databases.

Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Experience building and optimizing data pipelines, architectures, and data sets.

Strong analytic skills related to working with unstructured datasets.

Knowledge of message queuing, stream processing, and highly scalable data stores.

1-3 years experience with data analysis experience in e-commerce/fintech company, prefer with credit analysis experience

Logical thinking, proactive, strong communication skills, good at teamwork.

Bachelor degree or above which is relate to economic, mathematic, and statistics

Fluent with hive SQL, familiar to use Python, SAS. R. spark, etc for data analysing

Master statistical methods and tools, and familiar with the methods of statistical testing of models;

1-3 years experience with data analysis experience in e-commerce/fintech company, prefer with credit analysis experience

Logical thinking, proactive, strong communication skills, good at teamwork.

Bachelor degree or above which is relate to economic, mathematic, and statistics

Fluent with hive SQL, familiar to use Python, SAS. R. spark, etc for data analysing

Master statistical methods and tools, and familiar with the methods of statistical testing of models;

Provide assistance for Collection managers on Collection tools and system support

Minimum 2 years experiences in Collection function, data analysis, lending, or other related fields within Financial Institution

Advance knowledge in SQL and or statistical tool (e.g. SAS)

Strong analytical skills and put attention on details

Daily review key Collection indicators and provide highlight to Collection Director

Perform regular analysis on agent productivity metrics