Lead - Data Analytics at Fidelity Investments

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Experience in Data, with a flair for Quantitative Analysis using Python
Experience presenting scorecards & KPIs to L2/L3 leaders using Tableau/PowerBI
Strong analytical skills to provide insights and recommendations
Ability to convince key company decision makers of business benefits of proposed solutions
High degree of pro-activeness in identifying Proofs of Concept and taking them to implementation
Expert in handling large amounts of data (structured & unstructured)
Ability to solve problems using ML techniques - Regression, Classification, Decision Trees, Random Forest, and SVM
Knowledge of advanced ML models including Neural Networks (advantageous)
Storytelling & Storyboarding skills to convey findings to business partners in an analytics agnostic manner
Experience with Data Science/Machine Learning techniques (added advantage)
Deep Learning knowledge using R/Python (added advantage)
Relevant experience in applications of advanced analytics and predictive modeling techniques
Bachelor’s / Master’s Degree in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics)
Relevant work experience in Data Analytics and data handling
Proven experience in independently handling various kinds of analytics projects, client servicing, data interpretation & insights generation
Working knowledge of LLMs/GenAI (greatly helpful)

Responsibilities

Providing analytical and consulting support using Data analytics and Exploratory Analysis (EDA)
Using Data Science and ML techniques to solve business problems
Working closely with business partners to understand business requirements and convert them into data-related questions and answer them analytically
Building a reputation with partners as a person who can provide solutions to business problems
Independently conducting data analyses with minimal supervision
Using ML techniques like Regression, Decision Trees, Random Forest to solve for business problems that require data for KPI optimizations
Learning the business and using acquired knowledge to provide insights using Data Modeling, Visualization, and Data/Text mining techniques
Focusing on innovation and operating independently in an environment engaged in creating business impact
Communicating and presenting analysis/key findings to senior stakeholders in a clear and concise manner
Recommending a clear and measurable action plan for business partners

Skills

Key technologies and capabilities for this role

PythonTableauPowerBIEDAData ScienceMachine LearningRegressionDecision TreesRandom ForestSVMData ModelingVisualizationData MiningText MiningLLMsGenAI

Questions & Answers

Common questions about this position

What are the key technical skills required for this Lead - Data Analytics role?

Key skills include experience in Data analytics using Python, ML techniques like Regression, Decision Trees, Random Forest, and SVM, handling large structured and unstructured data, and presenting with Tableau/PowerBI. Storytelling and storyboarding are essential for conveying findings. Knowledge of LLMs/GenAI and advanced models like Neural Networks is advantageous.

What is the location and work arrangement for this position?

The role is based in Bangalore-EGL or Chennai with regular day shift timings.

What education and experience are required for this role?

A Bachelor’s or Master’s Degree in a quantitative field such as Computer Science, Economics, Engineering, Mathematics, Finance, or Statistics is required, along with relevant work experience in Data Analytics, data handling, and independently managing analytics projects.

What does the work environment and team focus entail at Fidelity Investments for this role?

The role is part of the WI iAIR team, focusing on innovation, independent operation to create business impact, and close collaboration with business partners to solve problems using data analytics, ML, and GenAI.

What makes a strong candidate stand out for this position?

Strong candidates demonstrate pro-activeness in identifying Proofs of Concept and implementing them, ability to convince senior decision makers with analytical insights, and expertise in advanced analytics like Data Science, ML, and Deep Learning using Python or R.

Fidelity Investments

Investment management and financial services provider

About Fidelity Investments

Fidelity Investments offers a range of financial services and tools designed to help individuals manage their investments and stay informed about the markets. Their products include mobile applications and market monitoring tools that provide users with real-time market quotes, news, and trading capabilities. For example, the Fidelity Market Monitor for Glass delivers daily market quotes directly to Google Glass, while the Fidelity app for Windows Phone 8 allows users to access news and trading tools on their mobile devices. Additionally, features like the Watch List Visualization for iPad help users track stock price changes over time using a heatmap. What sets Fidelity apart from its competitors is its focus on integrating new technologies and user-friendly interfaces to enhance the investment experience. The goal of Fidelity Investments is to empower individuals with the information and tools they need to make informed financial decisions.

Boston, MassachusettsHeadquarters

1946Year Founded

$120,238.8MTotal Funding

DEBT_FINANCINGCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Mental Health Support

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Risks

Loss of key personnel like Gita Bal may impact Fidelity's research capabilities.

Increased competition from Vanguard's new division could draw clients away from Fidelity.

Potential reputational risk from Bitcoin ETF outflows could affect Fidelity's offerings.

Differentiation

Fidelity Labs offers innovative beta products like Market Monitor for Google Glass.

Fidelity's mobile solutions are available on multiple platforms, including Windows Phone and iPad.

Fidelity's Open Limit Order Visualization provides unique insights into order execution proximity.

Upsides

Increased adoption of wearable tech could boost Fidelity's mobile solutions.

Growing interest in Bitcoin ETFs suggests expansion in Fidelity's digital asset offerings.

Rise of AI could benefit Fidelity's data analytics and AI-driven investment strategies.

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