Prudential Regulatory Accountant at DRW

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TradingIndustries

Requirements

Qualified accountant or CFA with a minimum of 5 years PQE with experience in financial services, proprietary trading experience preferred
Clear understanding of IFPR, IFR/IFD and CRR/CRD
Strong financial products knowledge
Experience in working with regulatory reporting software and data flows
Strong analytical and Excel skills with the ability to work effectively with large data sets to produce high quality reporting
Knowledge of industry standards, legislation and regulation relating to prudential and financial risk management
Excellent organizational skills and strong attention to detail
Outstanding written and verbal communication skills

Responsibilities

Daily reporting and monitoring of capital adequacy and key ratios
Preparation and submission of quarterly regulatory returns for EU and UK regulated entities
Maintain reporting framework with data validations, reconciliations and variance analysis
Produce key management information and provide ad-hoc updates to senior leaders
Work closely with development team to enhance the regulatory reporting
Responding to queries by the regulator in relation to prudential reporting
Work closely with the business on new business initiatives and assess the impact of new products and trade flows
Stay updated on changes to relevant prudential regulations and assess impact to the business
Maintain supporting documentation and work on continuously improve existing reporting framework
Contribute to key regulatory prudential documents
Work closely with other DRW teams including Treasury, Risk and Compliance

Skills

Regulatory Reporting

Capital Adequacy

Financial Reporting

Data Validation

Reconciliations

Variance Analysis

Prudential Regulations

Regulatory Returns

Excel

SQL

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters

2001Year Founded

M_AND_ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Daily catered breakfast & lunch

Massages

Social events

Gym subsidy

Flexible work arrangements

Monthly tastings

Game room

On-site yoga classes and meditation

Employee led affinity groups

Mentor/mentee outings

Trivia nights

Educational opportunities

DRW-sponsored sports teams

Poker tournament

Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.

Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.

Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.

They operate using their own capital, allowing quick pivots to capture opportunities.

DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.

DeFi platforms offer new opportunities for higher returns in crypto-assets.

Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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