Fixed Income Analytics (Consultant)

InvestM Technology LLC; Hyderabad; Hybrid; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Hybrid work schedule (3 days in office

Job summary

InvestM Technology LLC is seeking a Liquid Credit Technical Consultant based in Hyderabad. The role focuses on fixed income analytics, reporting, and quantitative insights for risk and portfolio construction in a hybrid schedule (3 days in office).

The ideal candidate will have hands-on SQL, Power BI, and Python, with experience in fixed income attribution, portfolio risk models, and strong interaction with investment teams. Certifications in FRM/CIPM or CFA progress are a plus.

Qualifications

• Experience in asset management or fixed income/credit analytics.
• Strong understanding of IG, HY, leveraged credit markets and related instruments.
• Proficiency with SQL and Python; ability to build scalable reports.
• Experience with Power BI; familiarity with cloud data architectures.

Responsibilities

• Design and interpret fixed income attribution and risk models to support performance analysis.
• Be the go-to resource for portfolio managers on risk, construction, and analytics questions.
• Lead development of reporting infrastructure using SQL, Python, Power BI and cloud tools.
• Collaborate with data/IT teams to improve data pipelines and automation.
• Support RR&A deliverables, data environments, and third-party data sources (e.g., FactSet, Bloomberg).
• Understand fixed income strategies and reporting: IG, HY, leveraged loans, structured credit.

Skills

SQL

Power BI

Python

Fixed Income Analytics

RFPs & DDQs

Tools

Bloomberg PORT

FactSet

Job description

Engagement Title: Liquid Credit Technical Consultant

Location: Hyderabad, India (Hybrid Schedule; 3 days in office)

Working Hours: 4 PM to 1 AM IST

Assignment Duration: 12 months

Engaging Team's Highlights

The ideal candidate should have experience within an asset management firm, with a strong preference for a fixed income or liquid credit background over pure equities experience. They should have hands‑on experience with fixed income performance and attribution, portfolio‑level reporting such as portfolio summaries and factsheets, and a solid understanding of fixed income analytics and metrics, including spreads, yields, and duration. The role will also require someone who can confidently address technical fixed income questions for RFPs and DDQs, often within short turnaround times.

From a technical standpoint, SQL is a must‑have, while Power BI and Python are strong pluses. Experience with Bloomberg PORT and FactSet, as well as exposure to portfolio construction, is also beneficial.

Certifications such as FRM or CIPM would be a strong fit, and progress toward the CFA (Levels I III) is preferred but not required.

Scope And Responsibilities

The Risk & Reporting department is responsible for delivering best‑in‑class, technology‑enabled analyses and reporting to clients' current and prospective investors and portfolio management professionals globally.

The Associate will serve as a subject matter expert on the instruments and markets clients participate in, with an emphasis on liquid credit (Investment Grade, High Yield, Bank Debt, Convertibles, and Structured Credit). The incumbent will support portfolio construction, risk analysis, and quantitative insight.

This role requires deep subject matter expertise in leveraged credit markets and a strong understanding of fixed income investment analytics, reporting, and data architecture. The successful candidate will help lead cross‑functional efforts across investment, data, and technology teams, and will advocate for the value of quantitative investment strategies throughout the organisation. The team is really looking for tech‑heavy profiles with a Fixed Income background.

Scope includes

• Designing and interpreting fixed income attribution, portfolio construction, and risk models & analysis to support portfolio construction and performance analysis;
• Serving as the go‑to resource for portfolio managers on risk, construction, and analytical questions; helping ensure seamless coordination across portfolio operations, data flows, and investment implementation processes;
• Translating complex quantitative models into clear insights for investment teams and senior leadership;
• Leading the build‑out and maintenance of reporting infrastructure using SQL, Python, Power BI, and cloud‑based tools;
• Collaborating with Business Analysts and IT to improve data systems, pipelines, and automation capabilities;
• Supporting firm‑wide understanding of RR&A deliverables, data environments, and third‑party data sources (e.g., FactSet, Bloomberg); and
• Ensuring analytical output is accurate, consistent, and aligned with the client's investment philosophy.
• Fixed income strategies: Working Knowledge of IG, HY, leveraged loans, and structured credit strategies
• Reporting: Recurring reports, Ad hoc analysis, RFPs, and DDQs
• Collaborate with organisational partners to produce and advance R&P deliverables: Investment/Portfolio Management, Product Specialists, Investor Relations, Marketing and business development, Accounting, IT, and Compliance;
• Evolve strategy and portfolio reporting suite in response to new strategies and investor needs; Support strategy‑level tactical projects through collaboration with other team members and key stakeholders.

Experience Required

• Experience at an asset management, investment bank, or other financial institution focused on fixed income or credit analytics;
• In‑depth understanding of investment‑grade, high‑yield bonds, leveraged loans, and the broader leveraged credit market;
• Experience with fixed income attribution and portfolio risk models; familiarity with tools like FactSet, Bloomberg, and proprietary analytics platforms;
• Strong technical proficiency, including advanced SQL and Python, and experience building reports in Power BI;
• Understanding of cloud data architectures and large‑scale data workflows;
• Experience managing cross‑functional projects and communicating with stakeholders across investment and technology teams
• Tech stack (must): Hands‑on SQL + Power BI (Must) and Python (good to have) to build scalable reporting, automation, dashboards, and analytics infrastructure
• Process improvement: Ability to combine FI analytics, credit market knowledge, and automation to support best‑in‑class investor and portfolio reporting - Portfolio Summaries, Factsheets
• Portfolio analytics: Yields, Spreads, Duration, and other core FI risk/return metrics