Senior Data Analyst

jobr.pro; Bengaluru; On-site; INR 1,200,000 - 1,600,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex Benefits

Parental leave

LASA volunteering leave

Assistance Programme

FlexWork hours

Job summary

Grab is seeking a data-driven analytics professional to own end-to-end risk analysis across multiple problem space teams. You will apply advanced AI/ML techniques and real-time metrics to safeguard the platform against fraud, safety issues, and identity abuse.

You will collaborate with senior stakeholders, build robust data inputs, and mentor junior analysts while advancing automation and data governance across the analytics function.

Qualifications

• 4+ years in data-related or quantitative fields.
• Bachelor's degree as listed in qualifications.

Responsibilities

• Own end-to-end risk analytics problems across 1–3 PSTs.
• Be a domain expert in platform integrity and real-time risk measures.
• Use agentic AI and systems frameworks to detect fraud, safety, and identity risks.
• Build data inputs and feature engineering for real-time mitigations.
• Mentor junior analysts and contribute to data quality governance.

Skills

SQL

Python

Spark

Experimentation

AI/ML knowledge

Team collaboration

Education

Bachelor's degree in Analytics, Statistics, CS, or Engineering

Tools

Spark

Python

Job description

Job Description

Get to Know the Team The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We use our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analysing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. We empower our team to handle these challenges by providing them with cutting-edge tools, including agentic AI setups, allowing them to focus on high-impact risk mitigation.

Get to Know the Role Reporting to the Analytics Manager, you will take end-to-end ownership of complex risk analytical problems across 1 to 3 Problem Space Teams (PSTs). You will be a domain expert in platform integrity, leveraging data to create real-time measures that protect our ecosystem. You will proactively use our advanced AI and system frameworks as force-multipliers to uncover new typologies across fraud, safety, and identity abuse.

The Critical Tasks You Will Perform

• Independently deliver on difficult analytical problems, exploring and proposing optimal solutions to uncover new risk typologies and analyze ambiguous threat patterns.
• Ideate on complex new signals to detect risks—ranging from fake accounts and policy-violating content to complex safety incidents—leveraging data to create real-time protective measures.
• Shift your analytical workflow to utilize agentic setups and AI tools, transitioning from purely manual analysis to spending more time configuring, monitoring, and optimizing intelligent risk-detection systems.
• Build robust data inputs and utilize feature engineering to feed into our Management tools, powering dynamic mitigations and real-time anomaly models across multiple risk domains.
• Employ advanced simulation tools for synthetic data generation to study rare user behaviors and threat patterns before they cause real-world impact.
• Build trust with mid‑to‑senior level stakeholders across adjacent teams, communicating your data‑driven risk strategies and the technical constraints of your solutions clearly.
• Mentor junior analysts and actively contribute to broader operational improvements, data quality governance, and automation initiatives across the analytics function.

Qualifications

What Essential Skills You Will Need

• Minimum 4 years of experience in data-related or quantitative fields.
• A Bachelor's Degree in Analytics, Statistics, Computer Science, or Engineering.
• Strong proficiency in SQL, Python, Spark, and experimentation/statistical techniques.
• Proficient understanding of AI/ML, Feature Engineering, and System‑Thinking, allowing you to use these competencies to analyze complex dependencies within our diverse risk ecosystems.
• Balances independent execution with strong collaboration, proactively addressing blockers and navigating within your team.

Additional Information

Life at Grab

We care about your well‑being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love‑all‑Serve‑all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.