Ankit Bansal

AI Researcher

Delhi, India12 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in deploying LLM-powered solutions for finance.
Strong background in quantitative modeling and AI.
Proven track record in enhancing investment strategies.

Stackforce AI infers this person is a Fintech AI Engineer specializing in quantitative modeling and investment analytics.

Contact

Skills

Core Skills

Machine LearningAi EngineeringQuantitative ResearchBusiness AnalysisData Analysis

Other Skills

CC++ChromaDBData StructuresData VisualizationFAISSFastAPIHugging FaceLLMLangChainMatlabMatplotlibMicrosoft ExcelOpenAI APIsPlotly

About

AI Engineer specializing in deploying LLM-powered solutions in financial research & portfolio analytics at IFM. Bridging quantitative modeling and generative AI to drive strategic decisions Feel free to connect if you're exploring AI in finance, GenAI-driven investment insights, or smart wealth-tech innovation.

Experience

12 yrs 4 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 2 mos

Current Experience

Innovative financial management ( ifm )

AI Engineer - Gen AI and Financial Research

Feb 2025 – Present · 1 yr 2 mos · Delhi, India · On-site

Spearheading AI and LLM innovation in financial research and investment intelligence, building domain-specific AI systems to transform research, reporting, and advisory workflows.
🔹 **LLM-Based Product Development**
Designed and fine-tuned custom LLMs for equity research, market commentary, and financial document summarization
Developed Retrieval-Augmented Generation (RAG) pipelines for context-aware Q&A over private research databases
🔹 **Tooling & Frameworks**
Built internal research copilots using LangChain, OpenAI APIs, and Hugging Face models
Integrated vector databases (FAISS, ChromaDB) for efficient embedding search and contextual retrieval
🔹 **Applied GenAI in Investment Research**
Automated client reporting, investment thesis summaries, and fund commentary generation
🔹 **System Architecture & Deployment**
Built scalable backend architecture for LLM services using FastAPI and containerized environments
Deployed GenAI applications with user-facing interfaces for internal analyst teams
🔹 **Collaboration with Research & Quant Teams**
Worked closely with fund managers, analysts, and quants to embed GenAI insights into active strategies
Ensured AI models are explainable, auditable, and aligned with compliance frameworks
🧩 Exploring innovations at the intersection of financial research, LLMs, and personalized wealth-tech applications. Actively building next-gen tools that reduce research friction and enhance advisor productivity.

PythonMachine LearningLLMFastAPIOpenAI APIsHugging Face+3

Innovative finance management

Senior Research Analyst

Jun 2023 – Feb 2025 · 1 yr 8 mos · Delhi, India · Hybrid

Led quantitative research and AI-driven model development initiatives to support alpha generation, risk management, and portfolio optimization.
🔹 **Model Development**
Designed and implemented predictive models using ML/AI to enhance existing investment strategies and ideate new ones
Built end-to-end quant models for alpha signals, factor-based strategies, and portfolio construction
🔹 **Data Collection & Infrastructure**
Worked with structured and unstructured datasets across equities, fixed income, and macroeconomic sources
Built scalable data pipelines and deployed AI/ML solutions using Python and PyTorch
🔹 **Data Visualization & Communication**
Translated complex research and model outputs into actionable insights for fund managers
Presented findings using visual storytelling tools like Plotly, Matplotlib, and interactive dashboards
🔹 **Business Strategy & Solutions**
Proposed data-driven solutions to business problems across research, investment, and client advisory verticals
Ensured alignment of analytics outputs with organizational priorities and client expectations
🔹 **Collaboration & Problem Solving**
Partnered with fund managers and internal research teams to deliver quant-driven enhancements to decision-making
Tackled research and analytics challenges across investment lifecycle
🔹 **Algorithmic Trading Systems**
Built and deployed end-to-end algorithmic trading strategies using the XTS API in Python
Developed real-time execution systems integrated with live market data and backtesting frameworks
➡️ Successfully transitioned into an AI Engineer role in Feb 2025 after initiating multiple internal AI research workflows focused on LLMs and GenAI for financial applications.

PythonMachine LearningData VisualizationPredictive AnalyticsBusiness AnalysisQuantitative Research

Alpha alternatives

Quant Trader

Sep 2021 – Jun 2023 · 1 yr 9 mos · Delhi, India

Tata consultancy services

Data Analyst

Dec 2017 – Sep 2021 · 3 yrs 9 mos · Noida Area, India

PythonData Analysis

Exl

2 roles

Lead Assistant Manager

Jan 2017 – Dec 2017 · 11 mos

PythonData Analysis

Senior Business Analyst

Aug 2015 – Dec 2016 · 1 yr 4 mos

PythonData Analysis

Ericsson

Network Engineer

Oct 2011 – Jul 2013 · 1 yr 9 mos · Noida Area, India

Worked as Core Network Planning Design and Optimization Engineer.
Assigned physical and logical platform assignments like Voice, EVDO, Inter-MSC Trunk.
Designed, analyzed and planned network components supporting communication implementation activities.
Developed various routing scenarios and implementation schedules for various technologies.
Rehomed T1s, groomed Networks and optimized T1 plans according to the capacity requirement.
Worked directly with local Field Operations and Project Management teams to support plans in real time.