Financial Risk Analyst

Swiss Re; Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Swiss Re seeks a risk analytics professional to monitor market and credit risk exposure, develop IT tools for data consistency, and deliver insights to management. The role involves large-scale data analysis, reporting, and improving risk metric measurement, within a hybrid in-office schedule.

You will collaborate with Credit Underwriting, Asset Management, Treasury and other teams and leverage scripting languages like Python or R and SQL for data modeling and reporting.

Qualifications

• Engineering/Data Science/Finance/Math degree or professional designation (CFA/CQF/FRM).
• 2–4 years in financial services or insurance with understanding of financial products and counterparty credit risk.
• Solid IT & analytical skills with Python/R, SQL experience; data modeling.

Responsibilities

• Monitor and control market and credit risk portfolio exposure; perform change & impact analysis.
• Develop tools to improve data consistency and capture data irregularities in risk aggregation and reporting.
• Analyze large-scale data, perform analytics, interpret results, and present insights to management.
• Identify and initiate projects to improve risk metrics measurement and attribution (Stress, VaR, Shortfall).
• Manage day-to-day reporting deliverables ensuring timeliness and consistency.

Skills

Python

SQL

Data analysis

Communication

Education

Engineering / Data Science / Finance / Mathematics (Bachelors/Masters)

CFA

CQF

FRM

Tools

Azure

Co-pilot Studio

StarGate Palantir Foundry

Job description

Location: Bangalore, KA, IN

About the role

• Monitor and control the Market and Credit risk portfolio exposure for Swiss Re group, regularly performing change & impact analysis and presenting key active business drivers and passive changes to the management.
• Developing tools to improve data consistency and capture the data irregularities encountered in the risk aggregation and reporting process.
• Analyze large-scale data and having the ability to perform analytics, interpret results, and present simplified insights to management.
• Identify and initiate projects and processes that aid in improving the measurement and attribution of Risk Metrics like Stress, VaR ,SPLC, Shortfall etc that lies within the team's scope.
• Manage the deliverables of day-to-day reporting coverage and ensure appropriate analysis, timeliness, and consistency across various reporting dimensions.
• Service ad-hoc analytical requests from stakeholders in an efficient manner.
• Contribute towards improvement of risk reports and reporting processes through fast developed IT solutions.
• Communicate with Credit Underwriting, Asset Management, Treasury and other businesses, primarily in the weekly Financial Market and Credit risk councils. Clearly articulate actionable feedback on events, exposures and issues that impact Swiss Re's risk profile

About the team

The Financial Risk Aggregation and Analytics (FRAA) team within Solvency and Financial Risk Management (SFRM) is in charge of collecting and aggregating Swiss Re's firm-wide financial market and credit risks. The team produces various analytics and periodic reports to the internal and external stakeholders with strong focus on analysis, timeliness, and quality. FRAA works closely with Market Risk Managers, Credit Risk Managers, Credit Underwriters, Asset Managers and Treasury and aligns the reporting needs in a fast changing environment. FRAA focuses on strong IT capabilities for efficient implementation of reporting processes.

About you

• Good academic track record in Engineering, Data Science, Finance or Mathematics (Bachelors/Masters) or a professional designation such as CFA, CQF or FRM.
• 2-4 years of experience in the financial services or insurance sector with a good understanding of financial products (fixed income, equities and derivatives) and counterparty credit risk. Deep understanding of Interest Rate products will be an advantage
• Solid IT & analytical skills with exposure to at least one scripting language (e.g. Python, R), data modeling, SQL.
• Experience in leveraging the LLMs through varied platforms like AZURE, Co-pilot Studio and StarGate( Palantir Foundry) would be a plus.
• Good communication skills, have an eye for detail, positive attitude and an ability to articulate technical topics in simple terms
• Good organizational skills, ability to handle multiple priorities and meet deadlines
• A flair to understand the trends and developments in the global financial markets

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords

Reference Code: 139687